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The present application, filed on or after March 16, 2013, is being examined under the first inventor to file provisions of the AIA .
Double Patenting
The nonstatutory double patenting rejection is based on a judicially created doctrine grounded in public policy (a policy reflected in the statute) so as to prevent the unjustified or improper timewise extension of the “right to exclude” granted by a patent and to prevent possible harassment by multiple assignees. A nonstatutory double patenting rejection is appropriate where the conflicting claims are not identical, but at least one examined application claim is not patentably distinct from the reference claim(s) because the examined application claim is either anticipated by, or would have been obvious over, the reference claim(s). See, e.g., In re Berg, 140 F.3d 1428, 46 USPQ2d 1226 (Fed. Cir. 1998); In re Goodman, 11 F.3d 1046, 29 USPQ2d 2010 (Fed. Cir. 1993); In re Longi, 759 F.2d 887, 225 USPQ 645 (Fed. Cir. 1985); In re Van Ornum, 686 F.2d 937, 214 USPQ 761 (CCPA 1982); In re Vogel, 422 F.2d 438, 164 USPQ 619 (CCPA 1970); In re Thorington, 418 F.2d 528, 163 USPQ 644 (CCPA 1969).
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Claims 1 – 3, 5 – 7, and 9 - 11 are rejected on the ground of nonstatutory double patenting as being unpatentable over claims 1 – 3, 5 - 7, and 19 of U.S. Patent No. 11,388,397. Although the claims at issue are not identical, they are not patentably distinct from each other because the scope of the patented case wholly encompasses the scope of the current invention.
Current Application
U.S. Patent No. 11,388,397
1. A picture component prediction method, applied to a decoder, the method comprising:
determining a first picture component reference sample set of a current block based on neighboring first picture component samples of the current block;
determining multiple first picture component reference samples from the first picture component reference sample set according to four preset sample positions;
performing first filtering processing on the multiple first picture component reference samples, to obtain filtered first picture component reference samples ;
determining to-be-predicted picture component reference samples corresponding to the filtered first picture component reference samples, a to-be-predicted picture component being a picture component different from a first picture component;
determining a filtered maximum first picture component reference sample and a filtered minimum first picture component reference sample based on the filtered first picture component reference samples;
determining a maximum to-be-predicted picture component reference sample corresponding to the filtered maximum first picture component reference sample and a minimum to-be-predicted picture component reference sample corresponding to the filtered minimum first picture component reference sample; and
determining a parameter of a component model according to the filtered maximum first picture component reference sample, the filtered minimum first picture component reference sample, the maximum to-be-predicted picture component reference sample and the minimum to-be-predicted picture component reference sample, the component model characterizing a mapping relationship for mapping a sample of the first picture component to a sample of the to- be-predicted picture component;
performing mapping processing on a reconstructed sample of the first picture component of the current block according to the component model to determine a predicted sample of the to-be-predicted picture component of the current block.
3. The method of claim 2, wherein determining the multiple first picture component reference samples from the first picture component reference sample set comprises:
determining four preset sample positions; and
determining the multiple first picture component reference samples from the samples in the one or more neighboring lines at the top side of the current block and/or the samples in the one or more neighboring columns at the left side of the current block according to the four preset sample positions.
1. A picture component prediction method, applied to a decoder, the method comprising:
determining a first picture component reference value set of a current block;
determining multiple first picture component reference values according to the first picture component reference value set, wherein the multiple first picture component reference values include four reference values corresponding to four preset sample positions, respectively;
performing first filtering processing on sample values of samples corresponding to the multiple first picture component reference values, respectively, to determine multiple filtered first picture reference sample values, wherein the first filtering processing is performed on the sample values of the samples corresponding to the multiple first picture component reference values to obtain a filtered reference value set, and wherein reference sample values in the filtered reference value set are compared, and wherein a set of greater first picture component reference values and a set of smaller first picture component reference values are determined based on the reference sample values, wherein the multiple filtered first picture reference sample values are determined by using multiple values from each of the set of greater first picture component reference values and the set of smaller first picture component reference values;
determining a parameter of a component linear model according to the multiple filtered first picture reference sample values and a corresponding to-be-predicted picture component reference values, the to-be-predicted picture component being a picture component which is different from the first picture component, and the component linear model characterizing a linear mapping relationship for mapping a sample value of the first picture component to a sample value of the to-be-predicted picture component;
performing mapping processing on a reconstructed value of the first picture component of the current block according to the component linear model to obtain a mapped value; and determining a predicted value of the to-be-predicted picture component of the current block according to the mapped value.
2. The method of claim 1, wherein determining the first picture component reference value set of a current block comprises: determining one or more reference samples that locate outside of the current block, and determining the one or more reference samples as the first picture component reference value set, wherein determining the one or more reference samples that locate outside of the current block comprises: determining neighboring samples of the current block as one or more reference samples.
3. The method of claim 2, wherein the neighboring samples of the current block comprise at least one of: samples in one or more neighboring lines at a top side of the current block, or samples in one or more neighboring columns at a left side of the current block.
5. The method of claim 1, wherein determining the multiple filtered first picture reference sample values based on the set of greater first picture component reference values and set of smaller first picture component reference values comprises: performing mean processing on the set of greater first picture component reference values to obtain a filtered maximum first picture component reference value; and performing mean processing on the set of smaller first picture component reference values to obtain a filtered minimum first picture component reference value.
6. The method of claim 5, further comprising: determining a maximum to-be-predicted picture component reference value corresponding to the filtered maximum first picture component reference value and a minimum to-be-predicted picture component reference value corresponding to the filtered minimum first picture component reference value.
7. The method of claim 6, wherein determining the parameter of the component linear model according to the multiple filtered first picture reference sample values and a corresponding to-be-predicted picture component reference values comprises: determining the parameter of the component linear model according to the filtered maximum first picture component reference value, the maximum to-be-predicted picture component reference value, the filtered minimum first picture component reference value and the minimum to-be-predicted picture component reference value, the component linear model characterizing the linear mapping relationship for mapping the sample value of the first picture component to the sample value of the to-be-predicted picture component.
2. The method of claim 1, wherein the neighboring first picture component samples of the current block comprise at least one of: samples in one or more neighboring lines at a top side of the current block, or samples in one or more neighboring columns at a left side of the current block.
3. The method of claim 2, wherein the neighboring samples of the current block comprise at least one of: samples in one or more neighboring lines at a top side of the current block, or samples in one or more neighboring columns at a left side of the current block.
5. A picture component prediction method, applied to an encoder, the method comprising: determining a first picture component reference sample set of a current block based on neighboring first picture component samples of the current block; determining multiple first picture component reference samples from the first picture component reference sample set according to four preset sample positions; performing first filtering processing on the multiple first picture component reference samples, to obtain filtered first picture component reference samples; determining to-be-predicted picture component reference samples corresponding to the filtered first picture component reference samples, a to-be-predicted picture component being a picture component different from a first picture component; determining a filtered maximum first picture component reference sample and a filtered minimum first picture component reference sample based on the filtered first picture component reference samples; determining a maximum to-be-predicted picture component reference sample corresponding to the filtered maximum first picture component reference sample and a minimum to-be-predicted picture component reference sample corresponding to the filtered minimum first picture component reference sample; and determining a parameter of a component model according to the filtered maximum first picture component reference sample, the filtered minimum first picture component reference sample, the maximum to-be-predicted picture component reference sample and the minimum to-be-predicted picture component reference sample, the component model characterizing a mapping relationship for mapping a sample of the first picture component to a sample of the to- be-predicted picture component; performing mapping processing on a reconstructed sample of the first picture component of the current block according to the component model to determine a predicted sample of the to-be-predicted picture component of the current block.
7. The method of claim 6, wherein determining the multiple first picture component reference samples from the first picture component reference sample set comprises: determining four preset sample positions; and determining the multiple first picture component reference samples from the samples in the one or more neighboring lines at the top side of the current block and/or the samples in the one or more neighboring columns at the left side of the current block according to the four preset sample positions.
19. A picture component prediction method, applied to an encoder, the method comprising: determining a first picture component reference value set of a current block; determining multiple first picture component reference values according to the first picture component reference value set, wherein the multiple first picture component reference values include four reference values corresponding to four preset sample positions, respectively; performing first filtering processing on sample values of samples corresponding to the multiple first picture component reference values, respectively, to determine multiple filtered first picture reference sample values, wherein the first filtering processing is performed on the sample values of the samples corresponding to the multiple first picture component reference values to obtain a filtered reference value set, and wherein reference sample values in the filtered reference value set are compared, and wherein a set of greater first picture component reference values and a set of smaller first picture component reference values are determined based on the reference sample values, and wherein the multiple filtered first picture reference sample values are determined by using multiple values from each of the set of greater first picture component reference values and the set of smaller first picture component reference values; determining a parameter of a component linear model according to the multiple filtered first picture reference sample values and a corresponding to-be-predicted picture component reference values, the to-be-predicted picture component being a picture component which is different from the first picture component, and the component linear model characterizing a linear mapping relationship for mapping a sample value of the first picture component to a sample value of the to-be-predicted picture component; performing mapping processing on a reconstructed value of the first picture component of the current block according to the component linear model to obtain a mapped value; and determining a predicted value of the to-be-predicted picture component of the current block according to the mapped value.
2. The method of claim 1, wherein determining the first picture component reference value set of a current block comprises: determining one or more reference samples that locate outside of the current block, and determining the one or more reference samples as the first picture component reference value set, wherein determining the one or more reference samples that locate outside of the current block comprises: determining neighboring samples of the current block as one or more reference samples.
3. The method of claim 2, wherein the neighboring samples of the current block comprise at least one of: samples in one or more neighboring lines at a top side of the current block, or samples in one or more neighboring columns at a left side of the current block.
5. The method of claim 1, wherein determining the multiple filtered first picture reference sample values based on the set of greater first picture component reference values and set of smaller first picture component reference values comprises: performing mean processing on the set of greater first picture component reference values to obtain a filtered maximum first picture component reference value; and performing mean processing on the set of smaller first picture component reference values to obtain a filtered minimum first picture component reference value.
6. The method of claim 5, further comprising: determining a maximum to-be-predicted picture component reference value corresponding to the filtered maximum first picture component reference value and a minimum to-be-predicted picture component reference value corresponding to the filtered minimum first picture component reference value.
7. The method of claim 6, wherein determining the parameter of the component linear model according to the multiple filtered first picture reference sample values and a corresponding to-be-predicted picture component reference values comprises: determining the parameter of the component linear model according to the filtered maximum first picture component reference value, the maximum to-be-predicted picture component reference value, the filtered minimum first picture component reference value and the minimum to-be-predicted picture component reference value, the component linear model characterizing the linear mapping relationship for mapping the sample value of the first picture component to the sample value of the to-be-predicted picture component.
6. The method of claim 5, wherein the neighboring first picture component samples of the current block comprise at least one of: samples in one or more neighboring lines at a top side of the current block, or samples in one or more neighboring columns at a left side of the current block.
3. The method of claim 2, wherein the neighboring samples of the current block comprise at least one of: samples in one or more neighboring lines at a top side of the current block, or samples in one or more neighboring columns at a left side of the current block.
9. A non-transitory computer-readable storage medium storing therein a bitstream and a computer program, wherein the computer program, when processed by a processor, implements a picture component prediction method to generate the bitstream, and the method comprises: determining a first picture component reference sample set of a current block based on neighboring first picture component samples of the current block; determining multiple first picture component reference samples from the first picture component reference sample set according to four preset sample positions; performing first filtering processing on the multiple first picture component reference samples, to obtain filtered first picture component reference samples; determining to-be-predicted picture component reference samples corresponding to the filtered first picture component reference samples, a to-be-predicted picture component being a picture component different from a first picture component; determining a filtered maximum first picture component reference sample and a filtered minimum first picture component reference sample based on the filtered first picture component reference samples; determining a maximum to-be-predicted picture component reference sample corresponding to the filtered maximum first picture component reference sample and a minimum to-be-predicted picture component reference sample corresponding to the filtered minimum first picture component reference sample; and determining a parameter of a component model according to the filtered maximum first picture component reference sample, the filtered minimum first picture component reference sample, the maximum to-be-predicted picture component reference sample and the minimum to-be-predicted picture component reference sample, the component model characterizing a mapping relationship for mapping a sample of the first picture component to a sample of the to- be-predicted picture component; performing mapping processing on a reconstructed sample of the first picture component of the current block according to the component model to determine a predicted sample of the to-be-predicted picture component of the current block.
11. The non-transitory computer-readable storage medium of claim 10, wherein determining the multiple first picture component reference samples from the first picture component reference sample set comprises: determining four preset sample positions; and determining the multiple first picture component reference samples from the samples in the one or more neighboring lines at the top side of the current block and/or the samples in the one or more neighboring columns at the left side of the current block according to the four preset sample positions.
19. A picture component prediction method, applied to an encoder, the method comprising: determining a first picture component reference value set of a current block; determining multiple first picture component reference values according to the first picture component reference value set, wherein the multiple first picture component reference values include four reference values corresponding to four preset sample positions, respectively; performing first filtering processing on sample values of samples corresponding to the multiple first picture component reference values, respectively, to determine multiple filtered first picture reference sample values, wherein the first filtering processing is performed on the sample values of the samples corresponding to the multiple first picture component reference values to obtain a filtered reference value set, and wherein reference sample values in the filtered reference value set are compared, and wherein a set of greater first picture component reference values and a set of smaller first picture component reference values are determined based on the reference sample values, and wherein the multiple filtered first picture reference sample values are determined by using multiple values from each of the set of greater first picture component reference values and the set of smaller first picture component reference values; determining a parameter of a component linear model according to the multiple filtered first picture reference sample values and a corresponding to-be-predicted picture component reference values, the to-be-predicted picture component being a picture component which is different from the first picture component, and the component linear model characterizing a linear mapping relationship for mapping a sample value of the first picture component to a sample value of the to-be-predicted picture component; performing mapping processing on a reconstructed value of the first picture component of the current block according to the component linear model to obtain a mapped value; and determining a predicted value of the to-be-predicted picture component of the current block according to the mapped value.
2. The method of claim 1, wherein determining the first picture component reference value set of a current block comprises: determining one or more reference samples that locate outside of the current block, and determining the one or more reference samples as the first picture component reference value set, wherein determining the one or more reference samples that locate outside of the current block comprises: determining neighboring samples of the current block as one or more reference samples.
3. The method of claim 2, wherein the neighboring samples of the current block comprise at least one of: samples in one or more neighboring lines at a top side of the current block, or samples in one or more neighboring columns at a left side of the current block.
5. The method of claim 1, wherein determining the multiple filtered first picture reference sample values based on the set of greater first picture component reference values and set of smaller first picture component reference values comprises: performing mean processing on the set of greater first picture component reference values to obtain a filtered maximum first picture component reference value; and performing mean processing on the set of smaller first picture component reference values to obtain a filtered minimum first picture component reference value.
6. The method of claim 5, further comprising: determining a maximum to-be-predicted picture component reference value corresponding to the filtered maximum first picture component reference value and a minimum to-be-predicted picture component reference value corresponding to the filtered minimum first picture component reference value.
7. The method of claim 6, wherein determining the parameter of the component linear model according to the multiple filtered first picture reference sample values and a corresponding to-be-predicted picture component reference values comprises: determining the parameter of the component linear model according to the filtered maximum first picture component reference value, the maximum to-be-predicted picture component reference value, the filtered minimum first picture component reference value and the minimum to-be-predicted picture component reference value, the component linear model characterizing the linear mapping relationship for mapping the sample value of the first picture component to the sample value of the to-be-predicted picture component.
10. The non-transitory computer-readable storage medium of claim 9, wherein the neighboring first picture component samples of the current block comprise at least one of: samples in one or more neighboring lines at a top side of the current block, or samples in one or more neighboring columns at a left side of the current block.
3. The method of claim 2, wherein the neighboring samples of the current block comprise at least one of: samples in one or more neighboring lines at a top side of the current block, or samples in one or more neighboring columns at a left side of the current block.
Claims 1 – 3, 5 – 7, and 9 – 11 are rejected on the ground of nonstatutory double patenting as being unpatentable over claims 1 – 3, 6, 8, 9, 14, 15, and 18 of U.S. Patent No. 11,876,958. Although the claims at issue are not identical, they are not patentably distinct from each other because the scope of the patented case wholly encompasses the scope of the current invention.
Current Application
U.S. Patent No. 11,876,958
1. A picture component prediction method, applied to a decoder, the method comprising:
determining a first picture component reference sample set of a current block based on neighboring first picture component samples of the current block;
determining multiple first picture component reference samples from the first picture component reference sample set according to four preset sample positions;
performing first filtering processing on the multiple first picture component reference samples, to obtain filtered first picture component reference samples ;
determining to-be-predicted picture component reference samples corresponding to the filtered first picture component reference samples, a to-be-predicted picture component being a picture component different from a first picture component;
determining a filtered maximum first picture component reference sample and a filtered minimum first picture component reference sample based on the filtered first picture component reference samples;
determining a maximum to-be-predicted picture component reference sample corresponding to the filtered maximum first picture component reference sample and a minimum to-be-predicted picture component reference sample corresponding to the filtered minimum first picture component reference sample; and
determining a parameter of a component model according to the filtered maximum first picture component reference sample, the filtered minimum first picture component reference sample, the maximum to-be-predicted picture component reference sample and the minimum to-be-predicted picture component reference sample, the component model characterizing a mapping relationship for mapping a sample of the first picture component to a sample of the to- be-predicted picture component;
performing mapping processing on a reconstructed sample of the first picture component of the current block according to the component model to determine a predicted sample of the to-be-predicted picture component of the current block.
3. The method of claim 2, wherein determining the multiple first picture component reference samples from the first picture component reference sample set comprises:
determining four preset sample positions; and
determining the multiple first picture component reference samples from the samples in the one or more neighboring lines at the top side of the current block and/or the samples in the one or more neighboring columns at the left side of the current block according to the four preset sample positions.
1. A picture component prediction method, applied to a decoder, the method comprising:
determining a first picture component reference value set of a current block;
determining multiple first picture component reference values according to the first picture component reference value set, wherein the multiple first picture component reference values include four reference values corresponding to four preset sample positions, respectively;
performing first filtering processing on sample values of samples corresponding to the multiple first picture component reference values, respectively, to determine multiple filtered first picture reference sample values;
determining a parameter of a component linear model according to the multiple filtered first picture reference sample values and a corresponding to-be-predicted picture component reference values, the to-be-predicted picture component being a picture component which is different from the first picture component, and the component linear model characterizing a linear mapping relationship for mapping a sample value of the first picture component to a sample value of the to-be-predicted picture component;
performing mapping processing on a reconstructed value of the first picture component of the current block according to the component linear model to obtain a mapped value; and
determining a predicted value of the to-be-predicted picture component of the current block according to the mapped value.
2. The method of claim 1, wherein determining the first picture component reference value set of a current block comprises: determining one or more reference samples that locate outside of the current block, and determining the one or more reference samples as the first picture component reference value set, wherein determining the one or more reference samples that locate outside of the current block comprises: determining neighboring samples of the current block as one or more reference samples.
3. The method of claim 2, wherein the neighboring samples of the current block comprise at least one of: samples in one or more neighboring lines at a top side of the current block, or samples in one or more neighboring columns at a left side of the current block.
6. The method of claim 5, wherein determining the multiple filtered first picture reference sample values based on the set of greater first picture component reference values and set of smaller first picture component reference values comprises: performing mean processing on the set of greater first picture component reference values to obtain a filtered maximum first picture component reference value; and performing mean processing on the set of smaller first picture component reference values to obtain a filtered minimum first picture component reference value.
8. The method of claim 6, further comprising: determining a maximum to-be-predicted picture component reference value corresponding to the filtered maximum first picture component reference value and a minimum to-be-predicted picture component reference value corresponding to the filtered minimum first picture component reference value.
9. The method of claim 8, wherein determining the parameter of the component linear model according to the multiple filtered first picture reference sample values and a corresponding to-be-predicted picture component reference values comprises: determining the parameter of the component linear model according to the filtered maximum first picture component reference value, the maximum to-be-predicted picture component reference value, the filtered minimum first picture component reference value and the minimum to-be-predicted picture component reference value, the component linear model characterizing the linear mapping relationship for mapping the sample value of the first picture component to the sample value of the to-be-predicted picture component.
2. The method of claim 1, wherein the neighboring first picture component samples of the current block comprise at least one of: samples in one or more neighboring lines at a top side of the current block, or samples in one or more neighboring columns at a left side of the current block.
3. The method of claim 2, wherein the neighboring samples of the current block comprise at least one of: samples in one or more neighboring lines at a top side of the current block, or samples in one or more neighboring columns at a left side of the current block.
5. A picture component prediction method, applied to an encoder, the method comprising: determining a first picture component reference sample set of a current block based on neighboring first picture component samples of the current block; determining multiple first picture component reference samples from the first picture component reference sample set according to four preset sample positions; performing first filtering processing on the multiple first picture component reference samples, to obtain filtered first picture component reference samples; determining to-be-predicted picture component reference samples corresponding to the filtered first picture component reference samples, a to-be-predicted picture component being a picture component different from a first picture component; determining a filtered maximum first picture component reference sample and a filtered minimum first picture component reference sample based on the filtered first picture component reference samples; determining a maximum to-be-predicted picture component reference sample corresponding to the filtered maximum first picture component reference sample and a minimum to-be-predicted picture component reference sample corresponding to the filtered minimum first picture component reference sample; and determining a parameter of a component model according to the filtered maximum first picture component reference sample, the filtered minimum first picture component reference sample, the maximum to-be-predicted picture component reference sample and the minimum to-be-predicted picture component reference sample, the component model characterizing a mapping relationship for mapping a sample of the first picture component to a sample of the to- be-predicted picture component; performing mapping processing on a reconstructed sample of the first picture component of the current block according to the component model to determine a predicted sample of the to-be-predicted picture component of the current block.
7. The method of claim 6, wherein determining the multiple first picture component reference samples from the first picture component reference sample set comprises: determining four preset sample positions; and determining the multiple first picture component reference samples from the samples in the one or more neighboring lines at the top side of the current block and/or the samples in the one or more neighboring columns at the left side of the current block according to the four preset sample positions.
14. A picture component prediction method, applied to an encoder, the method comprising: determining a first picture component reference value set of a current block; determining multiple first picture component reference values according to the first picture component reference value set, wherein the multiple first picture component reference values include four reference values corresponding to four preset sample positions, respectively; performing first filtering processing on sample values of samples corresponding to the multiple first picture component reference values, respectively, to determine multiple filtered first picture reference sample values; determining a parameter of a component linear model according to the multiple filtered first picture reference sample values and a corresponding to-be-predicted picture component reference values, the to-be-predicted picture component being a picture component which is different from the first picture component, and the component linear model characterizing a linear mapping relationship for mapping a sample value of the first picture component to a sample value of the to-be-predicted picture component; performing mapping processing on a reconstructed value of the first picture component of the current block according to the component linear model to obtain a mapped value; and determining a predicted value of the to-be-predicted picture component of the current block according to the mapped value.
15. The method of claim 14, wherein determining the first picture component reference value set of a current block comprises: determining one or more reference samples that locate outside of the current block, and determining the one or more reference samples as the first picture component reference value set, wherein determining the one or more reference samples that locate outside of the current block comprises: determining neighboring samples of the current block as one or more reference samples; wherein the neighboring samples of the current block comprise at least one of: samples in one or more neighboring lines at a top side of the current block, or samples in one or more neighboring columns at a left side of the current block.
18. The method of claim 17, wherein determining the multiple filtered first picture reference sample values based on the set of greater first picture component reference values and set of smaller first picture component reference values comprises: performing mean processing on the set of greater first picture component reference values to obtain a filtered maximum first picture component reference value; and performing mean processing on the set of smaller first picture component reference values to obtain a filtered minimum first picture component reference value.
8. The method of claim 6, further comprising: determining a maximum to-be-predicted picture component reference value corresponding to the filtered maximum first picture component reference value and a minimum to-be-predicted picture component reference value corresponding to the filtered minimum first picture component reference value.
9. The method of claim 8, wherein determining the parameter of the component linear model according to the multiple filtered first picture reference sample values and a corresponding to-be-predicted picture component reference values comprises: determining the parameter of the component linear model according to the filtered maximum first picture component reference value, the maximum to-be-predicted picture component reference value, the filtered minimum first picture component reference value and the minimum to-be-predicted picture component reference value, the component linear model characterizing the linear mapping relationship for mapping the sample value of the first picture component to the sample value of the to-be-predicted picture component.
6. The method of claim 5, wherein the neighboring first picture component samples of the current block comprise at least one of: samples in one or more neighboring lines at a top side of the current block, or samples in one or more neighboring columns at a left side of the current block.
15. The method of claim 14, wherein determining the first picture component reference value set of a current block comprises: determining one or more reference samples that locate outside of the current block, and determining the one or more reference samples as the first picture component reference value set, wherein determining the one or more reference samples that locate outside of the current block comprises: determining neighboring samples of the current block as one or more reference samples; wherein the neighboring samples of the current block comprise at least one of: samples in one or more neighboring lines at a top side of the current block, or samples in one or more neighboring columns at a left side of the current block.
9. A non-transitory computer-readable storage medium storing therein a bitstream and a computer program, wherein the computer program, when processed by a processor, implements a picture component prediction method to generate the bitstream, and the method comprises: determining a first picture component reference sample set of a current block based on neighboring first picture component samples of the current block; determining multiple first picture component reference samples from the first picture component reference sample set according to four preset sample positions; performing first filtering processing on the multiple first picture component reference samples, to obtain filtered first picture component reference samples; determining to-be-predicted picture component reference samples corresponding to the filtered first picture component reference samples, a to-be-predicted picture component being a picture component different from a first picture component; determining a filtered maximum first picture component reference sample and a filtered minimum first picture component reference sample based on the filtered first picture component reference samples; determining a maximum to-be-predicted picture component reference sample corresponding to the filtered maximum first picture component reference sample and a minimum to-be-predicted picture component reference sample corresponding to the filtered minimum first picture component reference sample; and determining a parameter of a component model according to the filtered maximum first picture component reference sample, the filtered minimum first picture component reference sample, the maximum to-be-predicted picture component reference sample and the minimum to-be-predicted picture component reference sample, the component model characterizing a mapping relationship for mapping a sample of the first picture component to a sample of the to- be-predicted picture component; performing mapping processing on a reconstructed sample of the first picture component of the current block according to the component model to determine a predicted sample of the to-be-predicted picture component of the current block.
11. The non-transitory computer-readable storage medium of claim 10, wherein determining the multiple first picture component reference samples from the first picture component reference sample set comprises: determining four preset sample positions; and determining the multiple first picture component reference samples from the samples in the one or more neighboring lines at the top side of the current block and/or the samples in the one or more neighboring columns at the left side of the current block according to the four preset sample positions.
14. A picture component prediction method, applied to an encoder, the method comprising: determining a first picture component reference value set of a current block; determining multiple first picture component reference values according to the first picture component reference value set, wherein the multiple first picture component reference values include four reference values corresponding to four preset sample positions, respectively; performing first filtering processing on sample values of samples corresponding to the multiple first picture component reference values, respectively, to determine multiple filtered first picture reference sample values; determining a parameter of a component linear model according to the multiple filtered first picture reference sample values and a corresponding to-be-predicted picture component reference values, the to-be-predicted picture component being a picture component which is different from the first picture component, and the component linear model characterizing a linear mapping relationship for mapping a sample value of the first picture component to a sample value of the to-be-predicted picture component; performing mapping processing on a reconstructed value of the first picture component of the current block according to the component linear model to obtain a mapped value; and determining a predicted value of the to-be-predicted picture component of the current block according to the mapped value.
15. The method of claim 14, wherein determining the first picture component reference value set of a current block comprises: determining one or more reference samples that locate outside of the current block, and determining the one or more reference samples as the first picture component reference value set, wherein determining the one or more reference samples that locate outside of the current block comprises: determining neighboring samples of the current block as one or more reference samples; wherein the neighboring samples of the current block comprise at least one of: samples in one or more neighboring lines at a top side of the current block, or samples in one or more neighboring columns at a left side of the current block.
18. The method of claim 17, wherein determining the multiple filtered first picture reference sample values based on the set of greater first picture component reference values and set of smaller first picture component reference values comprises: performing mean processing on the set of greater first picture component reference values to obtain a filtered maximum first picture component reference value; and performing mean processing on the set of smaller first picture component reference values to obtain a filtered minimum first picture component reference value.
8. The method of claim 6, further comprising: determining a maximum to-be-predicted picture component reference value corresponding to the filtered maximum first picture component reference value and a minimum to-be-predicted picture component reference value corresponding to the filtered minimum first picture component reference value.
9. The method of claim 8, wherein determining the parameter of the component linear model according to the multiple filtered first picture reference sample values and a corresponding to-be-predicted picture component reference values comprises: determining the parameter of the component linear model according to the filtered maximum first picture component reference value, the maximum to-be-predicted picture component reference value, the filtered minimum first picture component reference value and the minimum to-be-predicted picture component reference value, the component linear model characterizing the linear mapping relationship for mapping the sample value of the first picture component to the sample value of the to-be-predicted picture component.
10. The non-transitory computer-readable storage medium of claim 9, wherein the neighboring first picture component samples of the current block comprise at least one of: samples in one or more neighboring lines at a top side of the current block, or samples in one or more neighboring columns at a left side of the current block.
15. The method of claim 14, wherein determining the first picture component reference value set of a current block comprises: determining one or more reference samples that locate outside of the current block, and determining the one or more reference samples as the first picture component reference value set, wherein determining the one or more reference samples that locate outside of the current block comprises: determining neighboring samples of the current block as one or more reference samples; wherein the neighboring samples of the current block comprise at least one of: samples in one or more neighboring lines at a top side of the current block, or samples in one or more neighboring columns at a left side of the current block.
Claims 1 – 3, 5 – 7, and 9 – 11 are rejected on the ground of nonstatutory double patenting as being unpatentable over claims 1, 3, 5, 6, 11, 13, 15, and 16 of U.S. Patent No. 12,323,584. Although the claims at issue are not identical, they are not patentably distinct from each other because the scope of the patented case wholly encompasses the scope of the current application.
Current Application
U.S. Patent No. 12,323,584
1. A picture component prediction method, applied to a decoder, the method comprising:
determining a first picture component reference sample set of a current block based on neighboring first picture component samples of the current block;
determining multiple first picture component reference samples from the first picture component reference sample set according to four preset sample positions;
performing first filtering processing on the multiple first picture component reference samples, to obtain filtered first picture component reference samples ;
determining to-be-predicted picture component reference samples corresponding to the filtered first picture component reference samples, a to-be-predicted picture component being a picture component different from a first picture component;
determining a filtered maximum first picture component reference sample and a filtered minimum first picture component reference sample based on the filtered first picture component reference samples;
determining a maximum to-be-predicted picture component reference sample corresponding to the filtered maximum first picture component reference sample and a minimum to-be-predicted picture component reference sample corresponding to the filtered minimum first picture component reference sample; and
determining a parameter of a component model according to the filtered maximum first picture component reference sample, the filtered minimum first picture component reference sample, the maximum to-be-predicted picture component reference sample and the minimum to-be-predicted picture component reference sample, the component model characterizing a mapping relationship for mapping a sample of the first picture component to a sample of the to- be-predicted picture component;
performing mapping processing on a reconstructed sample of the first picture component of the current block according to the component model to determine a predicted sample of the to-be-predicted picture component of the current block.
1. A picture component prediction method, applied to a decoder, the method comprising:
determining a first picture component reference value set of a current block;
determining multiple first picture component reference values according to the first picture component reference value set, wherein the multiple first picture component reference values include four reference values corresponding to four preset sample positions, respectively;
performing first filtering processing on sample values of samples corresponding to the multiple first picture component reference values, respectively, to determine multiple filtered first picture reference sample values;
determining a parameter of a component linear model according to the multiple filtered first picture reference sample values and corresponding to-be-predicted picture component reference values, the to-be-predicted picture component being a picture component which is different from the first picture component, and the component linear model characterizing a linear mapping relationship for mapping a sample value of the first picture component to a sample value of the to-be-predicted picture component;
performing mapping processing on a reconstructed value of the first picture component of the current block according to the component linear model to obtain a mapped value; and determining a predicted value of the to-be-predicted picture component of the current block according to the mapped value; wherein determining the multiple first picture component reference values according to the first picture component reference value set comprises: selecting two reference samples from samples in one or more neighboring lines at a top side of the current block according to preset positions, and selecting two reference samples from samples in one or more neighboring columns at a left side of the current block according to preset positions; and determining the multiple first picture component reference values according to the four selected samples.
3. The method of claim 2, wherein determining the multiple filtered first picture reference sample values based on the set of greater first picture component reference values and set of smaller first picture component reference values comprises: performing mean processing on the set of greater first picture component reference values to obtain a filtered maximum first picture component reference value; and performing mean processing on the set of smaller first picture component reference values to obtain a filtered minimum first picture component reference value.
5. The method of claim 3, further comprising: determining a maximum to-be-predicted picture component reference value corresponding to the filtered maximum first picture component reference value and a minimum to-be-predicted picture component reference value corresponding to the filtered minimum first picture component reference value.
6. The method of claim 5, wherein determining the parameter of the component linear model according to the multiple filtered first picture reference sample values and corresponding to-be-predicted picture component reference values comprises: determining the parameter of the component linear model according to the filtered maximum first picture component reference value, the maximum to-be-predicted picture component reference value, the filtered minimum first picture component reference value and the minimum to-be-predicted picture component reference value, the component linear model characterizing the linear mapping relationship for mapping the sample value of the first picture component to the sample value of the to-be-predicted picture component.
2. The method of claim 1, wherein the neighboring first picture component samples of the current block comprise at least one of: samples in one or more neighboring lines at a top side of the current block, or samples in one or more neighboring columns at a left side of the current block.
3. The method of claim 2, wherein determining the multiple first picture component reference samples from the first picture component reference sample set comprises:
determining four preset sample positions; and
determining the multiple first picture component reference samples from the samples in the one or more neighboring lines at the top side of the current block and/or the samples in the one or more neighboring columns at the left side of the current block according to the four preset sample positions.
5. A picture component prediction method, applied to an encoder, the method comprising: determining a first picture component reference sample set of a current block based on neighboring first picture component samples of the current block; determining multiple first picture component reference samples from the first picture component reference sample set according to four preset sample positions; performing first filtering processing on the multiple first picture component reference samples, to obtain filtered first picture component reference samples; determining to-be-predicted picture component reference samples corresponding to the filtered first picture component reference samples, a to-be-predicted picture component being a picture component different from a first picture component; determining a filtered maximum first picture component reference sample and a filtered minimum first picture component reference sample based on the filtered first picture component reference samples; determining a maximum to-be-predicted picture component reference sample corresponding to the filtered maximum first picture component reference sample and a minimum to-be-predicted picture component reference sample corresponding to the filtered minimum first picture component reference sample; and determining a parameter of a component model according to the filtered maximum first picture component reference sample, the filtered minimum first picture component reference sample, the maximum to-be-predicted picture component reference sample and the minimum to-be-predicted picture component reference sample, the component model characterizing a mapping relationship for mapping a sample of the first picture component to a sample of the to- be-predicted picture component; performing mapping processing on a reconstructed sample of the first picture component of the current block according to the component model to determine a predicted sample of the to-be-predicted picture component of the current block.
11. A picture component prediction method, applied to an encoder, the method comprising: determining a first picture component reference value set of a current block; determining multiple first picture component reference values according to the first picture component reference value set, wherein the multiple first picture component reference values include four reference values corresponding to four preset sample positions, respectively; performing first filtering processing on sample values of samples corresponding to the multiple first picture component reference values, respectively, to determine multiple filtered first picture reference sample values; determining a parameter of a component linear model according to the multiple filtered first picture reference sample values and corresponding to-be-predicted picture component reference values, the to-be-predicted picture component being a picture component which is different from the first picture component, and the component linear model characterizing a linear mapping relationship for mapping a sample value of the first picture component to a sample value of the to-be-predicted picture component; performing mapping processing on a reconstructed value of the first picture component of the current block according to the component linear model to obtain a mapped value; and determining a predicted value of the to-be-predicted picture component of the current block according to the mapped value; wherein determining the multiple first picture component reference values according to the first picture component reference value set comprises: selecting two reference samples from samples in one or more neighboring lines at a top side of the current block according to preset positions, and selecting two reference samples from samples in one or more neighboring columns at a left side of the current block according to preset positions; and determining the multiple first picture component reference values according to the four selected samples.
13. The method of claim 12, wherein determining the multiple filtered first picture reference sample values based on the set of greater first picture component reference values and set of smaller first picture component reference values comprises: performing mean processing on the set of greater first picture component reference values to obtain a filtered maximum first picture component reference value; and performing mean processing on the set of smaller first picture component reference values to obtain a filtered minimum first picture component reference value.
15. The method of claim 13, further comprising: determining a maximum to-be-predicted picture component reference value corresponding to the filtered maximum first picture component reference value and a minimum to-be-predicted picture component reference value corresponding to the filtered minimum first picture component reference value.
16. The method of claim 15, wherein determining the parameter of the component linear model according to the multiple filtered first picture reference sample values and corresponding to-be-predicted picture component reference values comprises: determining the parameter of the component linear model according to the filtered maximum first picture component reference value, the maximum to-be-predicted picture component reference value, the filtered minimum first picture component reference value and the minimum to-be-predicted picture component reference value, the component linear model characterizing the linear mapping relationship for mapping the sample value of the first picture component to the sample value of the to-be-predicted picture component.
6. The method of claim 5, wherein the neighboring first picture component samples of the current block comprise at least one of: samples in one or more neighboring lines at a top side of the current block, or samples in one or more neighboring columns at a left side of the current block.
7. The method of claim 6, wherein determining the multiple first picture component reference samples from the first picture component reference sample set comprises: determining four preset sample positions; and determining the multiple first picture component reference samples from the samples in the one or more neighboring lines at the top side of the current block and/or the samples in the one or more neighboring columns at the left side of the current block according to the four preset sample positions.
9. A non-transitory computer-readable storage medium storing therein a bitstream and a computer program, wherein the computer program, when processed by a processor, implements a picture component prediction method to generate the bitstream, and the method comprises: determining a first picture component reference sample set of a current block based on neighboring first picture component samples of the current block; determining multiple first picture component reference samples from the first picture component reference sample set according to four preset sample positions; performing first filtering processing on the multiple first picture component reference samples, to obtain filtered first picture component reference samples; determining to-be-predicted picture component reference samples corresponding to the filtered first picture component reference samples, a to-be-predicted picture component being a picture component different from a first picture component; determining a filtered maximum first picture component reference sample and a filtered minimum first picture component reference sample based on the filtered first picture component reference samples; determining a maximum to-be-predicted picture component reference sample corresponding to the filtered maximum first picture component reference sample and a minimum to-be-predicted picture component reference sample corresponding to the filtered minimum first picture component reference sample; and determining a parameter of a component model according to the filtered maximum first picture component reference sample, the filtered minimum first picture component reference sample, the maximum to-be-predicted picture component reference sample and the minimum to-be-predicted picture component reference sample, the component model characterizing a mapping relationship for mapping a sample of the first picture component to a sample of the to- be-predicted picture component; performing mapping processing on a reconstructed sample of the first picture component of the current block according to the component model to determine a predicted sample of the to-be-predicted picture component of the current block.
11. A picture component prediction method, applied to an encoder, the method comprising: determining a first picture component reference value set of a current block; determining multiple first picture component reference values according to the first picture component reference value set, wherein the multiple first picture component reference values include four reference values corresponding to four preset sample positions, respectively; performing first filtering processing on sample values of samples corresponding to the multiple first picture component reference values, respectively, to determine multiple filtered first picture reference sample values; determining a parameter of a component linear model according to the multiple filtered first picture reference sample values and corresponding to-be-predicted picture component reference values, the to-be-predicted picture component being a picture component which is different from the first picture component, and the component linear model characterizing a linear mapping relationship for mapping a sample value of the first picture component to a sample value of the to-be-predicted picture component; performing mapping processing on a reconstructed value of the first picture component of the current block according to the component linear model to obtain a mapped value; and determining a predicted value of the to-be-predicted picture component of the current block according to the mapped value; wherein determining the multiple first picture component reference values according to the first picture component reference value set comprises: selecting two reference samples from samples in one or more neighboring lines at a top side of the current block according to preset positions, and selecting two reference samples from samples in one or more neighboring columns at a left side of the current block according to preset positions; and determining the multiple first picture component reference values according to the four selected samples.
13. The method of claim 12, wherein determining the multiple filtered first picture reference sample values based on the set of greater first picture component reference values and set of smaller first picture component reference values comprises: performing mean processing on the set of greater first picture component reference values to obtain a filtered maximum first picture component reference value; and performing mean processing on the set of smaller first picture component reference values to obtain a filtered minimum first picture component reference value.
15. The method of claim 13, further comprising: determining a maximum to-be-predicted picture component reference value corresponding to the filtered maximum first picture component reference value and a minimum to-be-predicted picture component reference value corresponding to the filtered minimum first picture component reference value.
16. The method of claim 15, wherein determining the parameter of the component linear model according to the multiple filtered first picture reference sample values and corresponding to-be-predicted picture component reference values comprises: determining the parameter of the component linear model according to the filtered maximum first picture component reference value, the maximum to-be-predicted picture component reference value, the filtered minimum first picture component reference value and the minimum to-be-predicted picture component reference value, the component linear model characterizing the linear mapping relationship for mapping the sample value of the first picture component to the sample value of the to-be-predicted picture component.
10. The non-transitory computer-readable storage medium of claim 9, wherein the neighboring first picture component samples of the current block comprise at least one of: samples in one or more neighboring lines at a top side of the current block, or samples in one or more neighboring columns at a left side of the current block.
11. The non-transitory computer-readable storage medium of claim 10, wherein determining the multiple first picture component reference samples from the first picture component reference sample set comprises: determining four preset sample positions; and determining the multiple first picture component reference samples from the samples in the one or more neighboring lines at the top side of the current block and/or the samples in the one or more neighboring columns at the left side of the current block according to the four preset sample positions.
Claims 1 – 3, 5 – 7, and 9 – 11 are provisionally rejected on the ground of nonstatutory double patenting as being unpatentable over claims 1- 7, 10 – 16, 19, and 20 of copending Application No. 19/354,315 (reference application). Although the claims at issue are not identical, they are not patentably distinct from each other because the scope of the copending application wholly encompasses the scope of the current application.
This is a provisional nonstatutory double patenting rejection because the patentably indistinct claims have not in fact been patented.
Current Application
Copending Application No. 19/354,315
1. A picture component prediction method, applied to a decoder, the method comprising:
determining a first picture component reference sample set of a current block based on neighboring first picture component samples of the current block;
determining multiple first picture component reference samples from the first picture component reference sample set according to four preset sample positions;
performing first filtering processing on the multiple first picture component reference samples, to obtain filtered first picture component reference samples ;
determining to-be-predicted picture component reference samples corresponding to the filtered first picture component reference samples, a to-be-predicted picture component being a picture component different from a first picture component;
determining a filtered maximum first picture component reference sample and a filtered minimum first picture component reference sample based on the filtered first picture component reference samples;
determining a maximum to-be-predicted picture component reference sample corresponding to the filtered maximum first picture component reference sample and a minimum to-be-predicted picture component reference sample corresponding to the filtered minimum first picture component reference sample; and
determining a parameter of a component model according to the filtered maximum first picture component reference sample, the filtered minimum first picture component reference sample, the maximum to-be-predicted picture component reference sample and the minimum to-be-predicted picture component reference sample, the component model characterizing a mapping relationship for mapping a sample of the first picture component to a sample of the to- be-predicted picture component;
performing mapping processing on a reconstructed sample of the first picture component of the current block according to the component model to determine a predicted sample of the to-be-predicted picture component of the current block.
1. A decoder for picture component prediction, comprising: a memory for storing executable video component prediction instructions; and a processor configured to perform the executable video component prediction instructions stored in the memory to perform following operations:
determining a first picture component reference value set of a current block;
determining multiple first picture component reference values according to the first picture component reference value set;
performing first filtering processing on sample values of samples corresponding to the multiple first picture component reference values to obtain a filtered reference value set, wherein reference sample values in the filtered reference value set are compared, and a set of greater first picture component reference values and a set of smaller first picture component reference values are determined;
determining multiple filtered first picture reference sample values based on the set of greater first picture component reference values and the set of smaller first picture component reference values;
determining a parameter of a component model according to the multiple filtered first picture reference sample values and corresponding to-be-predicted picture component reference values, the to-be-predicted picture component being a picture component which is different from the first picture component, and the component model characterizing a mapping relationship for mapping a sample value of the first picture component to a sample value of the to-be-predicted picture component;
performing mapping processing on a reconstructed value of the first picture component of the current block according to the component model to obtain a mapped value; and
determining a predicted value of the to-be-predicted picture component of the current block according to the mapped value.
2. The decoder of claim 1, wherein determining the first picture component reference value set of the current block comprises: determining one or more reference samples that locate outside of the current block, and determining the one or more reference samples as the first picture component reference value set, wherein determining the one or more reference samples that locate outside of the current block comprises: determining neighboring samples of the current block as one or more reference samples.
5. The decoder of claim 1, wherein determining the multiple filtered first picture reference sample values based on the set of greater first picture component reference values and the set of smaller first picture component reference values comprises: performing mean processing on the set of greater first picture component reference values to obtain a filtered maximum first picture component reference value; and performing mean processing on the set of smaller first picture component reference values to obtain a filtered minimum first picture component reference value.
6. The decoder of claim 5, the operations further comprising: determining a maximum to-be-predicted picture component reference value corresponding to the filtered maximum first picture component reference value and a minimum to-be-predicted picture component reference value corresponding to the filtered minimum first picture component reference value.
7. The decoder of claim 6, wherein determining the parameter of the component model according to the multiple filtered first picture reference sample values and the corresponding to-be-predicted picture component reference values comprises: determining the parameter of the component model according to the filtered maximum first picture component reference value, the maximum to-be-predicted picture component reference value, the filtered minimum first picture component reference value and the minimum to-be-predicted picture component reference value, the component model characterizing the mapping relationship for mapping the sample value of the first picture component to the sample value of the to-be-predicted picture component.
2. The method of claim 1, wherein the neighboring first picture component samples of the current block comprise at least one of: samples in one or more neighboring lines at a top side of the current block, or samples in one or more neighboring columns at a left side of the current block.
3. The decoder of claim 2, wherein the neighboring samples of the current block comprise at least one of: samples in one or more neighboring lines at a top side of the current block, or samples in one or more neighboring columns at a left side of the current block.
3. The method of claim 2, wherein determining the multiple first picture component reference samples from the first picture component reference sample set comprises:
determining four preset sample positions; and
determining the multiple first picture component reference samples from the samples in the one or more neighboring lines at the top side of the current block and/or the samples in the one or more neighboring columns at the left side of the current block according to the four preset sample positions.
4. The decoder of claim 3, wherein determining the multiple first picture component reference values according to the first picture component reference value set comprises: selecting reference samples from the samples in the one or more neighboring lines at the top side of the current block according to two preset positions, and selecting reference samples from the samples in the one or more neighboring columns at the left side of the current block according to two preset positions; determining the multiple first picture component reference values according to the selected samples.
5. A picture component prediction method, applied to an encoder, the method comprising: determining a first picture component reference sample set of a current block based on neighboring first picture component samples of the current block; determining multiple first picture component reference samples from the first picture component reference sample set according to four preset sample positions; performing first filtering processing on the multiple first picture component reference samples, to obtain filtered first picture component reference samples; determining to-be-predicted picture component reference samples corresponding to the filtered first picture component reference samples, a to-be-predicted picture component being a picture component different from a first picture component; determining a filtered maximum first picture component reference sample and a filtered minimum first picture component reference sample based on the filtered first picture component reference samples; determining a maximum to-be-predicted picture component reference sample corresponding to the filtered maximum first picture component reference sample and a minimum to-be-predicted picture component reference sample corresponding to the filtered minimum first picture component reference sample; and determining a parameter of a component model according to the filtered maximum first picture component reference sample, the filtered minimum first picture component reference sample, the maximum to-be-predicted picture component reference sample and the minimum to-be-predicted picture component reference sample, the component model characterizing a mapping relationship for mapping a sample of the first picture component to a sample of the to- be-predicted picture component; performing mapping processing on a reconstructed sample of the first picture component of the current block according to the component model to determine a predicted sample of the to-be-predicted picture component of the current block.
10. An encoder for picture component prediction, comprising: a memory for storing executable video component prediction instructions; and a processor configured to perform the executable video component prediction instructions stored in the memory to perform following operations: determining a first picture component reference value set of a current block; determining multiple first picture component reference values according to the first picture component reference value set; performing first filtering processing on sample values of samples corresponding to the multiple first picture component reference values to obtain a filtered reference value set, wherein reference sample values in the filtered reference value set are compared, and a set of greater first picture component reference values and a set of smaller first picture component reference values are determined; determining multiple filtered first picture reference sample values based on the set of greater first picture component reference values and the set of smaller first picture component reference values; determining a parameter of a component model according to the multiple filtered first picture reference sample values and corresponding to-be-predicted picture component reference values, the to-be-predicted picture component being a picture component which is different from the first picture component, and the component model characterizing a mapping relationship for mapping a sample value of the first picture component to a sample value of the to-be-predicted picture component; performing mapping processing on a reconstructed value of the first picture component of the current block according to the component model to obtain a mapped value; and determining a predicted value of the to-be-predicted picture component of the current block according to the mapped value.
11. The encoder of claim 10, wherein determining the first picture component reference value set of the current block comprises: determining one or more reference samples that locate outside of the current block, and determining the one or more reference samples as the first picture component reference value set, wherein determining the one or more reference samples that locate outside of the current block comprises: determining neighboring samples of the current block as one or more reference samples.
14. The encoder of claim 10, wherein determining the multiple filtered first picture reference sample values based on the set of greater first picture component reference values and the set of smaller first picture component reference values comprises: performing mean processing on the set of greater first picture component reference values to obtain a filtered maximum first picture component reference value; and performing mean processing on the set of smaller first picture component reference values to obtain a filtered minimum first picture component reference value.
15. The encoder of claim 14, the operations further comprising: determining a maximum to-be-predicted picture component reference value corresponding to the filtered maximum first picture component reference value and a minimum to-be-predicted picture component reference value corresponding to the filtered minimum first picture component reference value.
16. The encoder of claim 15, wherein determining the parameter of the component model according to the multiple filtered first picture reference sample values and the corresponding to-be-predicted picture component reference values comprises: determining the parameter of the component model according to the filtered maximum first picture component reference value, the maximum to-be-predicted picture component reference value, the filtered minimum first picture component reference value and the minimum to-be-predicted picture component reference value, the component model characterizing the mapping relationship for mapping the sample value of the first picture component to the sample value of the to-be-predicted picture component.
6. The method of claim 5, wherein the neighboring first picture component samples of the current block comprise at least one of: samples in one or more neighboring lines at a top side of the current block, or samples in one or more neighboring columns at a left side of the current block.
12. The encoder of claim 11, wherein the neighboring samples of the current block comprise at least one of: samples in one or more neighboring lines at a top side of the current block, or samples in one or more neighboring columns at a left side of the current block.
7. The method of claim 6, wherein determining the multiple first picture component reference samples from the first picture component reference sample set comprises: determining four preset sample positions; and determining the multiple first picture component reference samples from the samples in the one or more neighboring lines at the top side of the current block and/or the samples in the one or more neighboring columns at the left side of the current block according to the four preset sample positions.
13. The encoder of claim 12, wherein determining the multiple first picture component reference values according to the first picture component reference value set comprises: selecting reference samples from the samples in the one or more neighboring lines at the top side of the current block according to two preset positions, and selecting reference samples from the samples in the one or more neighboring columns at the left side of the current block according to two preset positions; determining the multiple first picture component reference values according to the selected samples.
9. A non-transitory computer-readable storage medium storing therein a bitstream and a computer program, wherein the computer program, when processed by a processor, implements a picture component prediction method to generate the bitstream, and the method comprises: determining a first picture component reference sample set of a current block based on neighboring first picture component samples of the current block; determining multiple first picture component reference samples from the first picture component reference sample set according to four preset sample positions; performing first filtering processing on the multiple first picture component reference samples, to obtain filtered first picture component reference samples; determining to-be-predicted picture component reference samples corresponding to the filtered first picture component reference samples, a to-be-predicted picture component being a picture component different from a first picture component; determining a filtered maximum first picture component reference sample and a filtered minimum first picture component reference sample based on the filtered first picture component reference samples; determining a maximum to-be-predicted picture component reference sample corresponding to the filtered maximum first picture component reference sample and a minimum to-be-predicted picture component reference sample corresponding to the filtered minimum first picture component reference sample; and determining a parameter of a component model according to the filtered maximum first picture component reference sample, the filtered minimum first picture component reference sample, the maximum to-be-predicted picture component reference sample and the minimum to-be-predicted picture component reference sample, the component model characterizing a mapping relationship for mapping a sample of the first picture component to a sample of the to- be-predicted picture component; performing mapping processing on a reconstructed sample of the first picture component of the current block according to the component model to determine a predicted sample of the to-be-predicted picture component of the current block.
19. A non-transitory computer-readable storage medium, having a computer program and a bitstream stored thereon, wherein the computer program, when executed by a processor, enables the processor to perform an encoding method to generate the bitstream, and the encoding method comprises: determining a first picture component reference value set of a current block; determining multiple first picture component reference values according to the first picture component reference value set; performing first filtering processing on sample values of samples corresponding to the multiple first picture component reference values to obtain a filtered reference value set, wherein reference sample values in the filtered reference value set are compared, and a set of greater first picture component reference values and a set of smaller first picture component reference values are determined; determining multiple filtered first picture reference sample values based on the set of greater first picture component reference values and the set of smaller first picture component reference values; determining a parameter of a component model according to the multiple filtered first picture reference sample values and corresponding to-be-predicted picture component reference values, the to-be-predicted picture component being a picture component which is different from the first picture component, and the component model characterizing a mapping relationship for mapping a sample value of the first picture component to a sample value of the to-be-predicted picture component; performing mapping processing on a reconstructed value of the first picture component of the current block according to the component model to obtain a mapped value; and determining a predicted value of the to-be-predicted picture component of the current block according to the mapped value.
20. The non-transitory computer-readable storage medium of claim 19, wherein determining the first picture component reference value set of the current block comprises: determining one or more reference samples that locate outside of the current block, and determining the one or more reference samples as the first picture component reference value set, wherein determining the one or more reference samples that locate outside of the current block comprises: determining neighboring samples of the current block as one or more reference samples.
14. The encoder of claim 10, wherein determining the multiple filtered first picture reference sample values based on the set of greater first picture component reference values and the set of smaller first picture component reference values comprises: performing mean processing on the set of greater first picture component reference values to obtain a filtered maximum first picture component reference value; and performing mean processing on the set of smaller first picture component reference values to obtain a filtered minimum first picture component reference value.
15. The encoder of claim 14, the operations further comprising: determining a maximum to-be-predicted picture component reference value corresponding to the filtered maximum first picture component reference value and a minimum to-be-predicted picture component reference value corresponding to the filtered minimum first picture component reference value.
16. The encoder of claim 15, wherein determining the parameter of the component model according to the multiple filtered first picture reference sample values and the corresponding to-be-predicted picture component reference values comprises: determining the parameter of the component model according to the filtered maximum first picture component reference value, the maximum to-be-predicted picture component reference value, the filtered minimum first picture component reference value and the minimum to-be-predicted picture component reference value, the component model characterizing the mapping relationship for mapping the sample value of the first picture component to the sample value of the to-be-predicted picture component.
10. The non-transitory computer-readable storage medium of claim 9, wherein the neighboring first picture component samples of the current block comprise at least one of: samples in one or more neighboring lines at a top side of the current block, or samples in one or more neighboring columns at a left side of the current block.
12. The encoder of claim 11, wherein the neighboring samples of the current block comprise at least one of: samples in one or more neighboring lines at a top side of the current block, or samples in one or more neighboring columns at a left side of the current block.
11. The non-transitory computer-readable storage medium of claim 10, wherein determining the multiple first picture component reference samples from the first picture component reference sample set comprises: determining four preset sample positions; and determining the multiple first picture component reference samples from the samples in the one or more neighboring lines at the top side of the current block and/or the samples in the one or more neighboring columns at the left side of the current block according to the four preset sample positions.
13. The encoder of claim 12, wherein determining the multiple first picture component reference values according to the first picture component reference value set comprises: selecting reference samples from the samples in the one or more neighboring lines at the top side of the current block according to two preset positions, and selecting reference samples from the samples in the one or more neighboring columns at the left side of the current block according to two preset positions; determining the multiple first picture component reference values according to the selected samples.
Claims 1 – 12 are provisionally rejected on the ground of nonstatutory double patenting as being unpatentable over claims 1 – 6, 8 – 13, and 15 - 20 of copending Application No. 19/354,393 (reference application). Although the claims at issue are not identical, they are not patentably distinct from each other because the scope of the copending application wholly encompass the scope of the current application.
This is a provisional nonstatutory double patenting rejection because the patentably indistinct claims have not in fact been patented.
Current Application
Copending Application 19/354,393
1. A picture component prediction method, applied to a decoder, the method comprising:
determining a first picture component reference sample set of a current block based on neighboring first picture component samples of the current block;
determining multiple first picture component reference samples from the first picture component reference sample set according to four preset sample positions;
performing first filtering processing on the multiple first picture component reference samples, to obtain filtered first picture component reference samples ;
determining to-be-predicted picture component reference samples corresponding to the filtered first picture component reference samples, a to-be-predicted picture component being a picture component different from a first picture component;
determining a filtered maximum first picture component reference sample and a filtered minimum first picture component reference sample based on the filtered first picture component reference samples;
determining a maximum to-be-predicted picture component reference sample corresponding to the filtered maximum first picture component reference sample and a minimum to-be-predicted picture component reference sample corresponding to the filtered minimum first picture component reference sample; and
determining a parameter of a component model according to the filtered maximum first picture component reference sample, the filtered minimum first picture component reference sample, the maximum to-be-predicted picture component reference sample and the minimum to-be-predicted picture component reference sample, the component model characterizing a mapping relationship for mapping a sample of the first picture component to a sample of the to- be-predicted picture component;
performing mapping processing on a reconstructed sample of the first picture component of the current block according to the component model to determine a predicted sample of the to-be-predicted picture component of the current block.
1. A decoder for picture component prediction, comprising: a memory for storing executable video component prediction instructions; and a processor configured to perform the executable video component prediction instructions stored in the memory to perform following operations:
determining a first picture component reference sample set of a current block;
determining multiple first picture component reference samples from the first picture component reference sample set according to four preset sample positions;
performing first filtering processing on the multiple first picture component reference samples, to obtain multiple filtered first picture reference samples;
determining to-be-predicted picture component reference samples corresponding to the multiple filtered first picture reference samples, a to-be-predicted picture component being a picture component different from a first picture component;
determining a parameter of a component model according to the multiple filtered first picture reference samples and the to-be-predicted picture component reference samples, the component model characterizing a mapping relationship for mapping a sample of the first picture component to a sample of the to-be-predicted picture component;
performing mapping processing on a reconstructed sample of the first picture component of the current block according to the component model to determine a mapped sample; and
determining a predicted sample of the to-be-predicted picture component of the current block according to the mapped sample.
2. The decoder of claim 1, wherein determining the first picture component reference sample set of the current block comprises: determining the first picture component reference sample set based on neighboring samples of the current block.
6. The decoder of claim 1, wherein determining the parameter of the component model according to the multiple filtered first picture reference samples and the to-be-predicted picture component reference samples comprises: determining a filtered maximum first picture component reference sample and a filtered minimum first picture component reference sample based on the multiple filtered first picture reference samples; determining a maximum to-be-predicted picture component reference sample corresponding to the filtered maximum first picture component reference sample and a minimum to-be-predicted picture component reference sample corresponding to the filtered minimum first picture component reference sample; and determining the parameter of the component model according to the filtered maximum first picture component reference sample, the filtered minimum first picture component reference sample, the maximum to-be-predicted picture component reference sample and the minimum to-be-predicted picture component reference sample.
2. The method of claim 1, wherein the neighboring first picture component samples of the current block comprise at least one of: samples in one or more neighboring lines at a top side of the current block, or samples in one or more neighboring columns at a left side of the current block.
3. The decoder of claim 2, wherein the neighboring samples of the current block comprise at least one of: samples in one or more neighboring lines at a top side of the current block, or samples in one or more neighboring columns at a left side of the current block.
3. The method of claim 2, wherein determining the multiple first picture component reference samples from the first picture component reference sample set comprises:
determining four preset sample positions; and
determining the multiple first picture component reference samples from the samples in the one or more neighboring lines at the top side of the current block and/or the samples in the one or more neighboring columns at the left side of the current block according to the four preset sample positions.
4. The decoder of claim 3, wherein determining the multiple first picture component reference samples from the first picture component reference sample set comprises: determining four preset sample positions; and determining the multiple first picture component reference samples from the samples in the one or more neighboring lines at the top side of the current block and/or the samples in the one or more neighboring columns at the left side of the current block according to the four preset sample positions.
4. The method of claim 3, wherein determining the multiple first picture component reference samples comprises: if the four preset sample positions are all at the top side of the current block, determining the multiple first picture component reference samples from the samples in the one or more neighboring lines at the top side of the current block according to the four preset sample positions; if the four preset sample positions are all at the left side of the current block, determining the multiple first picture component reference samples from the samples in the one or more neighboring columns at the left side of the current block according to the four preset sample positions; and if two of the four preset sample positions are at the top side of the current block and two of the four preset sample positions are at the left side of the current block, determining the multiple first picture component reference samples from the samples in the one or more neighboring lines at the top side of the current block according to the two preset sample positions at the top side of the current block and from the samples in the one or more neighboring columns at the left side of the current block according to the two preset sample positions at the left side of the current block.
5. The decoder of claim 4, wherein determining the multiple first picture component reference samples comprises: when the four preset sample positions are all at the top side of the current block, determining the multiple first picture component reference samples from the samples in the one or more neighboring lines at the top side of the current block according to the four preset sample positions; when the four preset sample positions are all at the left side of the current block, determining the multiple first picture component reference samples from the samples in the one or more neighboring columns at the left side of the current block according to the four preset sample positions; and when two of the four preset sample positions are at the top side of the current block and two of the four preset sample positions are at the left side of the current block, determining the multiple first picture component reference samples from the samples in the one or more neighboring lines at the top side of the current block according to the two preset sample positions at the top side of the current block and from the samples in the one or more neighboring columns at the left side of the current block according to the two preset sample positions at the left side of the current block.
5. A picture component prediction method, applied to an encoder, the method comprising: determining a first picture component reference sample set of a current block based on neighboring first picture component samples of the current block; determining multiple first picture component reference samples from the first picture component reference sample set according to four preset sample positions; performing first filtering processing on the multiple first picture component reference samples, to obtain filtered first picture component reference samples; determining to-be-predicted picture component reference samples corresponding to the filtered first picture component reference samples, a to-be-predicted picture component being a picture component different from a first picture component; determining a filtered maximum first picture component reference sample and a filtered minimum first picture component reference sample based on the filtered first picture component reference samples; determining a maximum to-be-predicted picture component reference sample corresponding to the filtered maximum first picture component reference sample and a minimum to-be-predicted picture component reference sample corresponding to the filtered minimum first picture component reference sample; and determining a parameter of a component model according to the filtered maximum first picture component reference sample, the filtered minimum first picture component reference sample, the maximum to-be-predicted picture component reference sample and the minimum to-be-predicted picture component reference sample, the component model characterizing a mapping relationship for mapping a sample of the first picture component to a sample of the to- be-predicted picture component; performing mapping processing on a reconstructed sample of the first picture component of the current block according to the component model to determine a predicted sample of the to-be-predicted picture component of the current block.
8. An encoder for picture component prediction, comprising: a memory for storing executable video component prediction instructions; and a processor configured to perform the executable video component prediction instructions stored in the memory to perform following operations: determining a first picture component reference sample set of a current block; determining multiple first picture component reference samples from the first picture component reference sample set according to four preset sample positions; performing first filtering processing on the multiple first picture component reference samples, to obtain multiple filtered first picture reference samples; determining to-be-predicted picture component reference samples corresponding to the multiple filtered first picture reference samples, a to-be-predicted picture component being a picture component different from a first picture component; determining a parameter of a component model according to the multiple filtered first picture reference samples and the to-be-predicted picture component reference samples, the component model characterizing a mapping relationship for mapping a sample of the first picture component to a sample of the to-be-predicted picture component; performing mapping processing on a reconstructed sample of the first picture component of the current block according to the component model to determine a mapped sample; and determining a predicted sample of the to-be-predicted picture component of the current block according to the mapped sample.
9. The encoder of claim 8, wherein determining the first picture component reference sample set of the current block comprises: determining the first picture component reference sample set based on neighboring samples of the current block.
13. The encoder of claim 8, wherein determining the parameter of the component model according to the multiple filtered first picture reference samples and the to-be-predicted picture component reference samples comprises: determining a filtered maximum first picture component reference sample and a filtered minimum first picture component reference sample based on the multiple filtered first picture reference samples; determining a maximum to-be-predicted picture component reference sample corresponding to the filtered maximum first picture component reference sample and a minimum to-be-predicted picture component reference sample corresponding to the filtered minimum first picture component reference sample; and determining the parameter of the component model according to the filtered maximum first picture component reference sample, the filtered minimum first picture component reference sample, the maximum to-be-predicted picture component reference sample and the minimum to-be-predicted picture component reference sample.
6. The method of claim 5, wherein the neighboring first picture component samples of the current block comprise at least one of: samples in one or more neighboring lines at a top side of the current block, or samples in one or more neighboring columns at a left side of the current block.
10. The encoder of claim 9, wherein the neighboring samples of the current block comprise at least one of: samples in one or more neighboring lines at a top side of the current block, or samples in one or more neighboring columns at a left side of the current block.
7. The method of claim 6, wherein determining the multiple first picture component reference samples from the first picture component reference sample set comprises: determining four preset sample positions; and determining the multiple first picture component reference samples from the samples in the one or more neighboring lines at the top side of the current block and/or the samples in the one or more neighboring columns at the left side of the current block according to the four preset sample positions.
11. The encoder of claim 10, wherein determining the multiple first picture component reference samples from the first picture component reference sample set comprises: determining four preset sample positions; and determining the multiple first picture component reference samples from the samples in the one or more neighboring lines at the top side of the current block and/or the samples in the one or more neighboring columns at the left side of the current block according to the four preset sample positions.
8. The method of claim 7, wherein determining the multiple first picture component reference samples comprises: if the four preset sample positions are all at the top side of the current block, determining the multiple first picture component reference samples from the samples in the one or more neighboring lines at the top side of the current block according to the four preset sample positions; if the four preset sample positions are all at the left side of the current block, determining the multiple first picture component reference samples from the samples in the one or more neighboring columns at the left side of the current block according to the four preset sample positions; and if two of the four preset sample positions are at the top side of the current block and two of the four preset sample positions are at the left side of the current block, determining the multiple first picture component reference samples from the samples in the one or more neighboring lines at the top side of the current block according to the two preset sample positions at the top side of the current block and from the samples in the one or more neighboring columns at the left side of the current block according to the two preset sample positions at the left side of the current block.
12. The encoder of claim 11, wherein determining the multiple first picture component reference samples comprises: when the four preset sample positions are all at the top side of the current block, determining the multiple first picture component reference samples from the samples in the one or more neighboring lines at the top side of the current block according to the four preset sample positions; when the four preset sample positions are all at the left side of the current block, determining the multiple first picture component reference samples from the samples in the one or more neighboring columns at the left side of the current block according to the four preset sample positions; and when two of the four preset sample positions are at the top side of the current block and two of the four preset sample positions are at the left side of the current block, determining the multiple first picture component reference samples from the samples in the one or more neighboring lines at the top side of the current block according to the two preset sample positions at the top side of the current block and from the samples in the one or more neighboring columns at the left side of the current block according to the two preset sample positions at the left side of the current block.
9. A non-transitory computer-readable storage medium storing therein a bitstream and a computer program, wherein the computer program, when processed by a processor, implements a picture component prediction method to generate the bitstream, and the method comprises: determining a first picture component reference sample set of a current block based on neighboring first picture component samples of the current block; determining multiple first picture component reference samples from the first picture component reference sample set according to four preset sample positions; performing first filtering processing on the multiple first picture component reference samples, to obtain filtered first picture component reference samples; determining to-be-predicted picture component reference samples corresponding to the filtered first picture component reference samples, a to-be-predicted picture component being a picture component different from a first picture component; determining a filtered maximum first picture component reference sample and a filtered minimum first picture component reference sample based on the filtered first picture component reference samples; determining a maximum to-be-predicted picture component reference sample corresponding to the filtered maximum first picture component reference sample and a minimum to-be-predicted picture component reference sample corresponding to the filtered minimum first picture component reference sample; and determining a parameter of a component model according to the filtered maximum first picture component reference sample, the filtered minimum first picture component reference sample, the maximum to-be-predicted picture component reference sample and the minimum to-be-predicted picture component reference sample, the component model characterizing a mapping relationship for mapping a sample of the first picture component to a sample of the to- be-predicted picture component; performing mapping processing on a reconstructed sample of the first picture component of the current block according to the component model to determine a predicted sample of the to-be-predicted picture component of the current block.
15. A non-transitory computer-readable storage medium, having a computer program and a bitstream stored thereon, wherein the computer program, when executed by a processor, enables the processor to perform an encoding method to generate the bitstream, and the encoding method comprises: determining a first picture component reference sample set of a current block; determining multiple first picture component reference samples from the first picture component reference sample set according to four preset sample positions; performing first filtering processing on the multiple first picture component reference samples, to obtain multiple filtered first picture reference samples; determining to-be-predicted picture component reference samples corresponding to the multiple filtered first picture reference samples, a to-be-predicted picture component being a picture component different from a first picture component; determining a parameter of a component model according to the multiple filtered first picture reference samples and the to-be-predicted picture component reference samples, the component model characterizing a mapping relationship for mapping a sample of the first picture component to a sample of the to-be-predicted picture component; performing mapping processing on a reconstructed sample of the first picture component of the current block according to the component model to determine a mapped sample; and determining a predicted sample of the to-be-predicted picture component of the current block according to the mapped sample.
16. The non-transitory computer-readable storage medium of claim 15, wherein determining the first picture component reference sample set of the current block comprises: determining the first picture component reference sample set based on neighboring samples of the current block.
20. The non-transitory computer-readable storage medium of claim 15, wherein determining the parameter of the component model according to the multiple filtered first picture reference samples and the to-be-predicted picture component reference samples comprises: determining a filtered maximum first picture component reference sample and a filtered minimum first picture component reference sample based on the multiple filtered first picture reference samples; determining a maximum to-be-predicted picture component reference sample corresponding to the filtered maximum first picture component reference sample and a minimum to-be-predicted picture component reference sample corresponding to the filtered minimum first picture component reference sample; and determining the parameter of the component model according to the filtered maximum first picture component reference sample, the filtered minimum first picture component reference sample, the maximum to-be-predicted picture component reference sample and the minimum to-be-predicted picture component reference sample.
10. The non-transitory computer-readable storage medium of claim 9, wherein the neighboring first picture component samples of the current block comprise at least one of: samples in one or more neighboring lines at a top side of the current block, or samples in one or more neighboring columns at a left side of the current block.
17. The non-transitory computer-readable storage medium of claim 16, wherein the neighboring samples of the current block comprise at least one of: samples in one or more neighboring lines at a top side of the current block, or samples in one or more neighboring columns at a left side of the current block.
11. The non-transitory computer-readable storage medium of claim 10, wherein determining the multiple first picture component reference samples from the first picture component reference sample set comprises: determining four preset sample positions; and determining the multiple first picture component reference samples from the samples in the one or more neighboring lines at the top side of the current block and/or the samples in the one or more neighboring columns at the left side of the current block according to the four preset sample positions.
18. The non-transitory computer-readable storage medium of claim 17,. wherein determining the multiple first picture component reference samples from the first picture component reference sample set comprises: determining four preset sample positions; and determining the multiple first picture component reference samples from the samples in the one or more neighboring lines at the top side of the current block and/or the samples in the one or more neighboring columns at the left side of the current block according to the four preset sample positions
12. The non-transitory computer-readable storage medium of claim 11, wherein determining the multiple first picture component reference samples comprises: if the four preset sample positions are all at the top side of the current block, determining the multiple first picture component reference samples from the samples in the one or more neighboring lines at the top side of the current block according to the four preset sample positions; if the four preset sample positions are all at the left side of the current block, determining the multiple first picture component reference samples from the samples in the one or more neighboring columns at the left side of the current block according to the four preset sample positions; and if two of the four preset sample positions are at the top side of the current block and two of the four preset sample positions are at the left side of the current block, determining the multiple first picture component reference samples from the samples in the one or more neighboring lines at the top side of the current block according to the two preset sample positions at the top side of the current block and from the samples in the one or more neighboring columns at the left side of the current block according to the two preset sample positions at the left side of the current block.
19. The non-transitory computer-readable storage medium of claim 18, wherein determining the multiple first picture component reference samples comprises: when the four preset sample positions are all at the top side of the current block, determining the multiple first picture component reference samples from the samples in the one or more neighboring lines at the top side of the current block according to the four preset sample positions; when the four preset sample positions are all at the left side of the current block, determining the multiple first picture component reference samples from the samples in the one or more neighboring columns at the left side of the current block according to the four preset sample positions; and when two of the four preset sample positions are at the top side of the current block and two of the four preset sample positions are at the left side of the current block, determining the multiple first picture component reference samples from the samples in the one or more neighboring lines at the top side of the current block according to the two preset sample positions at the top side of the current block and from the samples in the one or more neighboring columns at the left side of the current block according to the two preset sample positions at the left side of the current block.
Claims 1 – 12 are provisionally rejected on the ground of nonstatutory double patenting as being unpatentable over claims 1, 3, 4, 8, 10, 11, 15, 17, and 18 of copending Application No. 19/354,349 (reference application). Although the claims at issue are not identical, they are not patentably distinct from each other because the scope of the copending application wholly encompasses the scope of the current application.
This is a provisional nonstatutory double patenting rejection because the patentably indistinct claims have not in fact been patented.
Current Application
Copending Application 19/354,349
1. A picture component prediction method, applied to a decoder, the method comprising:
determining a first picture component reference sample set of a current block based on neighboring first picture component samples of the current block;
determining multiple first picture component reference samples from the first picture component reference sample set according to four preset sample positions;
performing first filtering processing on the multiple first picture component reference samples, to obtain filtered first picture component reference samples ;
determining to-be-predicted picture component reference samples corresponding to the filtered first picture component reference samples, a to-be-predicted picture component being a picture component different from a first picture component;
determining a filtered maximum first picture component reference sample and a filtered minimum first picture component reference sample based on the filtered first picture component reference samples;
determining a maximum to-be-predicted picture component reference sample corresponding to the filtered maximum first picture component reference sample and a minimum to-be-predicted picture component reference sample corresponding to the filtered minimum first picture component reference sample; and
determining a parameter of a component model according to the filtered maximum first picture component reference sample, the filtered minimum first picture component reference sample, the maximum to-be-predicted picture component reference sample and the minimum to-be-predicted picture component reference sample, the component model characterizing a mapping relationship for mapping a sample of the first picture component to a sample of the to- be-predicted picture component;
performing mapping processing on a reconstructed sample of the first picture component of the current block according to the component model to determine a predicted sample of the to-be-predicted picture component of the current block.
1. A decoder for picture component prediction, comprising: a memory for storing executable video component prediction instructions; and a processor configured to perform the executable video component prediction instructions stored in the memory to perform following operations:
determining a first picture component reference sample set of a current block;
determining multiple first picture component reference samples according to the first picture component reference sample set;
performing first filtering processing on the multiple first picture component reference samples, to determine multiple filtered first picture reference samples;
determining a parameter of a component model according to the multiple filtered first picture reference samples and corresponding to-be-predicted picture component reference samples, a to-be-predicted picture component being a picture component which is different from a first picture component, and the component model characterizing a mapping relationship for mapping a sample of the first picture component to a sample of the to-be-predicted picture component;
performing mapping processing on a reconstructed sample of the first picture component of the current block according to the component model to obtain a mapped sample; and
determining a predicted sample of the to-be-predicted picture component of the current block according to the mapped sample,
wherein determining multiple first picture component reference samples according to the first picture component reference sample set comprises: determining multiple reference samples based on samples in multiple neighboring lines at a top side of the current block according to two preset positions, and determining multiple reference samples based on samples in multiple neighboring columns at a left side of the current block according to two preset positions; and determining the multiple first picture component reference samples according to the selected reference samples.
3. The decoder of claim 1, wherein performing first filtering processing on the multiple first picture component reference samples, to determine the multiple filtered first picture reference samples comprises: performing first filtering processing on the multiple first picture component reference samples to obtain a filtered reference sample set; by comparing reference samples in the filtered reference sample set, determining a set of greater first picture component reference samples and a set of smaller first picture component reference samples; and determining a filtered maximum first picture component reference sample and a filtered minimum first picture component reference sample based on the set of greater first picture component reference samples and the set of smaller first picture component reference samples; wherein a number of samples in the set of greater first picture component reference samples is 2, and a number of samples in the set of smaller first picture component reference samples is 2.
4. The decoder of claim 3, the operations further comprising: determining a maximum to-be-predicted picture component reference sample corresponding to the filtered maximum first picture component reference sample and a minimum to-be-predicted picture component reference sample corresponding to the filtered minimum first picture component reference sample; and determining the parameter of the component model according to the filtered maximum first picture component reference sample, the maximum to-be-predicted picture component reference sample, the filtered minimum first picture component reference sample and the minimum to-be-predicted picture component reference sample.
2. The method of claim 1, wherein the neighboring first picture component samples of the current block comprise at least one of: samples in one or more neighboring lines at a top side of the current block, or samples in one or more neighboring columns at a left side of the current block.
3. The method of claim 2, wherein determining the multiple first picture component reference samples from the first picture component reference sample set comprises:
determining four preset sample positions; and
determining the multiple first picture component reference samples from the samples in the one or more neighboring lines at the top side of the current block and/or the samples in the one or more neighboring columns at the left side of the current block according to the four preset sample positions.
4. The method of claim 3, wherein determining the multiple first picture component reference samples comprises: if the four preset sample positions are all at the top side of the current block, determining the multiple first picture component reference samples from the samples in the one or more neighboring lines at the top side of the current block according to the four preset sample positions; if the four preset sample positions are all at the left side of the current block, determining the multiple first picture component reference samples from the samples in the one or more neighboring columns at the left side of the current block according to the four preset sample positions; and if two of the four preset sample positions are at the top side of the current block and two of the four preset sample positions are at the left side of the current block, determining the multiple first picture component reference samples from the samples in the one or more neighboring lines at the top side of the current block according to the two preset sample positions at the top side of the current block and from the samples in the one or more neighboring columns at the left side of the current block according to the two preset sample positions at the left side of the current block.
5. A picture component prediction method, applied to an encoder, the method comprising: determining a first picture component reference sample set of a current block based on neighboring first picture component samples of the current block; determining multiple first picture component reference samples from the first picture component reference sample set according to four preset sample positions; performing first filtering processing on the multiple first picture component reference samples, to obtain filtered first picture component reference samples; determining to-be-predicted picture component reference samples corresponding to the filtered first picture component reference samples, a to-be-predicted picture component being a picture component different from a first picture component; determining a filtered maximum first picture component reference sample and a filtered minimum first picture component reference sample based on the filtered first picture component reference samples; determining a maximum to-be-predicted picture component reference sample corresponding to the filtered maximum first picture component reference sample and a minimum to-be-predicted picture component reference sample corresponding to the filtered minimum first picture component reference sample; and determining a parameter of a component model according to the filtered maximum first picture component reference sample, the filtered minimum first picture component reference sample, the maximum to-be-predicted picture component reference sample and the minimum to-be-predicted picture component reference sample, the component model characterizing a mapping relationship for mapping a sample of the first picture component to a sample of the to- be-predicted picture component; performing mapping processing on a reconstructed sample of the first picture component of the current block according to the component model to determine a predicted sample of the to-be-predicted picture component of the current block.
8. An encoder for picture component prediction, comprising: determining a first picture component reference sample set of a current block; determining multiple first picture component reference samples according to the first picture component reference sample set; performing first filtering processing on the multiple first picture component reference samples, to determine multiple filtered first picture reference samples; determining a parameter of a component model according to the multiple filtered first picture reference samples and corresponding to-be-predicted picture component reference samples, a to-be-predicted picture component being a picture component which is different from a first picture component, and the component model characterizing a mapping relationship for mapping a sample of the first picture component to a sample of the to-be-predicted picture component; performing mapping processing on a reconstructed sample of the first picture component of the current block according to the component model to obtain a mapped sample; and determining a predicted sample of the to-be-predicted picture component of the current block according to the mapped sample, wherein determining multiple first picture component reference samples according to the first picture component reference sample set comprises: determining multiple reference samples based on samples in multiple neighboring lines at a top side of the current block according to two preset positions, and determining multiple reference samples based on samples in multiple neighboring columns at a left side of the current block according to two preset positions; and determining the multiple first picture component reference samples according to the selected reference samples.
10. The encoder of claim 8, wherein performing first filtering processing on the multiple first picture component reference samples, to determine the multiple filtered first picture reference samples comprises: performing first filtering processing on the multiple first picture component reference samples to obtain a filtered reference sample set; by comparing reference samples in the filtered reference sample set, determining a set of greater first picture component reference samples and a set of smaller first picture component reference samples; and determining a filtered maximum first picture component reference sample and a filtered minimum first picture component reference sample based on the set of greater first picture component reference samples and the set of smaller first picture component reference samples; wherein a number of samples in the set of greater first picture component reference samples is 2, and a number of samples in the set of smaller first picture component reference samples is 2.
11. The encoder of claim 10, the operations further comprising: determining a maximum to-be-predicted picture component reference sample corresponding to the filtered maximum first picture component reference sample and a minimum to-be-predicted picture component reference sample corresponding to the filtered minimum first picture component reference sample; and determining the parameter of the component model according to the filtered maximum first picture component reference sample, the maximum to-be-predicted picture component reference sample, the filtered minimum first picture component reference sample and the minimum to-be-predicted picture component reference sample.
6. The method of claim 5, wherein the neighboring first picture component samples of the current block comprise at least one of: samples in one or more neighboring lines at a top side of the current block, or samples in one or more neighboring columns at a left side of the current block.
7. The method of claim 6, wherein determining the multiple first picture component reference samples from the first picture component reference sample set comprises: determining four preset sample positions; and determining the multiple first picture component reference samples from the samples in the one or more neighboring lines at the top side of the current block and/or the samples in the one or more neighboring columns at the left side of the current block according to the four preset sample positions.
8. The method of claim 7, wherein determining the multiple first picture component reference samples comprises: if the four preset sample positions are all at the top side of the current block, determining the multiple first picture component reference samples from the samples in the one or more neighboring lines at the top side of the current block according to the four preset sample positions; if the four preset sample positions are all at the left side of the current block, determining the multiple first picture component reference samples from the samples in the one or more neighboring columns at the left side of the current block according to the four preset sample positions; and if two of the four preset sample positions are at the top side of the current block and two of the four preset sample positions are at the left side of the current block, determining the multiple first picture component reference samples from the samples in the one or more neighboring lines at the top side of the current block according to the two preset sample positions at the top side of the current block and from the samples in the one or more neighboring columns at the left side of the current block according to the two preset sample positions at the left side of the current block.
9. A non-transitory computer-readable storage medium storing therein a bitstream and a computer program, wherein the computer program, when processed by a processor, implements a picture component prediction method to generate the bitstream, and the method comprises: determining a first picture component reference sample set of a current block based on neighboring first picture component samples of the current block; determining multiple first picture component reference samples from the first picture component reference sample set according to four preset sample positions; performing first filtering processing on the multiple first picture component reference samples, to obtain filtered first picture component reference samples; determining to-be-predicted picture component reference samples corresponding to the filtered first picture component reference samples, a to-be-predicted picture component being a picture component different from a first picture component; determining a filtered maximum first picture component reference sample and a filtered minimum first picture component reference sample based on the filtered first picture component reference samples; determining a maximum to-be-predicted picture component reference sample corresponding to the filtered maximum first picture component reference sample and a minimum to-be-predicted picture component reference sample corresponding to the filtered minimum first picture component reference sample; and determining a parameter of a component model according to the filtered maximum first picture component reference sample, the filtered minimum first picture component reference sample, the maximum to-be-predicted picture component reference sample and the minimum to-be-predicted picture component reference sample, the component model characterizing a mapping relationship for mapping a sample of the first picture component to a sample of the to- be-predicted picture component; performing mapping processing on a reconstructed sample of the first picture component of the current block according to the component model to determine a predicted sample of the to-be-predicted picture component of the current block.
15. A non-transitory computer-readable storage medium, having a computer program and a bitstream stored thereon, wherein the computer program, when executed by a processor, enables the processor to perform an encoding method to generate the bitstream, and the encoding method comprises: determining a first picture component reference sample set of a current block; determining multiple first picture component reference samples according to the first picture component reference sample set; performing first filtering processing on the multiple first picture component reference samples, to determine multiple filtered first picture reference samples; determining a parameter of a component model according to the multiple filtered first picture reference samples and corresponding to-be-predicted picture component reference samples, a to-be-predicted picture component being a picture component which is different from a first picture component, and the component model characterizing a mapping relationship for mapping a sample of the first picture component to a sample of the to-be-predicted picture component; performing mapping processing on a reconstructed sample of the first picture component of the current block according to the component model to obtain a mapped sample; and determining a predicted sample of the to-be-predicted picture component of the current block according to the mapped sample, wherein determining multiple first picture component reference samples according to the first picture component reference sample set comprises: determining multiple reference samples based on samples in multiple neighboring lines at a top side of the current block according to two preset positions, and determining multiple reference samples based on samples in multiple neighboring columns at a left side of the current block according to two preset positions; and determining the multiple first picture component reference samples according to the selected reference samples.
17. The non-transitory computer-readable storage medium of claim 15, wherein performing first filtering processing on the multiple first picture component reference samples, to determine the multiple filtered first picture reference samples comprises: performing first filtering processing on the multiple first picture component reference samples to obtain a filtered reference sample set; by comparing reference samples in the filtered reference sample set, determining a set of greater first picture component reference samples and a set of smaller first picture component reference samples; and determining a filtered maximum first picture component reference sample and a filtered minimum first picture component reference sample based on the set of greater first picture component reference samples and the set of smaller first picture component reference samples; wherein a number of samples in the set of greater first picture component reference samples is 2, and a number of samples in the set of smaller first picture component reference samples is 2.
10. The non-transitory computer-readable storage medium of claim 9, wherein the neighboring first picture component samples of the current block comprise at least one of: samples in one or more neighboring lines at a top side of the current block, or samples in one or more neighboring columns at a left side of the current block.
18. The non-transitory computer-readable storage medium of claim 17, the method further comprising: determining a maximum to-be-predicted picture component reference sample corresponding to the filtered maximum first picture component reference sample and a minimum to-be-predicted picture component reference sample corresponding to the filtered minimum first picture component reference sample; and determining the parameter of the component model according to the filtered maximum first picture component reference sample, the maximum to-be-predicted picture component reference sample, the filtered minimum first picture component reference sample and the minimum to-be-predicted picture component reference sample.
11. The non-transitory computer-readable storage medium of claim 10, wherein determining the multiple first picture component reference samples from the first picture component reference sample set comprises: determining four preset sample positions; and determining the multiple first picture component reference samples from the samples in the one or more neighboring lines at the top side of the current block and/or the samples in the one or more neighboring columns at the left side of the current block according to the four preset sample positions.
12. The non-transitory computer-readable storage medium of claim 11, wherein determining the multiple first picture component reference samples comprises: if the four preset sample positions are all at the top side of the current block, determining the multiple first picture component reference samples from the samples in the one or more neighboring lines at the top side of the current block according to the four preset sample positions; if the four preset sample positions are all at the left side of the current block, determining the multiple first picture component reference samples from the samples in the one or more neighboring columns at the left side of the current block according to the four preset sample positions; and if two of the four preset sample positions are at the top side of the current block and two of the four preset sample positions are at the left side of the current block, determining the multiple first picture component reference samples from the samples in the one or more neighboring lines at the top side of the current block according to the two preset sample positions at the top side of the current block and from the samples in the one or more neighboring columns at the left side of the current block according to the two preset sample positions at the left side of the current block.
Claims 1 – 3, 5 – 7, and 9 – 11 are provisionally rejected on the ground of nonstatutory double patenting as being unpatentable over claims 1, 3, 5, 6, 11, 13, 15, 16, and 21 of copending Application No. 19/073,537 (reference application). Although the claims at issue are not identical, they are not patentably distinct from each other because the scope of the pending application wholly encompasses the scope of the current application.
This is a provisional nonstatutory double patenting rejection because the patentably indistinct claims have not in fact been patented.
Current Application
Copending Application 19/073, 537
1. A picture component prediction method, applied to a decoder, the method comprising:
determining a first picture component reference sample set of a current block based on neighboring first picture component samples of the current block;
determining multiple first picture component reference samples from the first picture component reference sample set according to four preset sample positions;
performing first filtering processing on the multiple first picture component reference samples, to obtain filtered first picture component reference samples ;
determining to-be-predicted picture component reference samples corresponding to the filtered first picture component reference samples, a to-be-predicted picture component being a picture component different from a first picture component;
determining a filtered maximum first picture component reference sample and a filtered minimum first picture component reference sample based on the filtered first picture component reference samples;
determining a maximum to-be-predicted picture component reference sample corresponding to the filtered maximum first picture component reference sample and a minimum to-be-predicted picture component reference sample corresponding to the filtered minimum first picture component reference sample; and
determining a parameter of a component model according to the filtered maximum first picture component reference sample, the filtered minimum first picture component reference sample, the maximum to-be-predicted picture component reference sample and the minimum to-be-predicted picture component reference sample, the component model characterizing a mapping relationship for mapping a sample of the first picture component to a sample of the to- be-predicted picture component;
performing mapping processing on a reconstructed sample of the first picture component of the current block according to the component model to determine a predicted sample of the to-be-predicted picture component of the current block.
1. A picture component prediction method, applied to a decoder, the method comprising:
determining a first picture component reference value set of a current block;
determining multiple first picture component reference values according to the first picture component reference value set, wherein the multiple first picture component reference values include four reference values corresponding to four preset sample positions, respectively;
performing first filtering processing on sample values of samples corresponding to the multiple first picture component reference values, respectively, to determine multiple filtered first picture reference sample values;
determining a parameter of a component linear model according to the multiple filtered first picture reference sample values and corresponding to-be-predicted picture component reference values, the to-be-predicted picture component being a picture component which is different from the first picture component, and the component linear model characterizing a linear mapping relationship for mapping a sample value of the first picture component to a sample value of the to-be-predicted picture component;
performing mapping processing on a reconstructed value of the first picture component of the current block according to the component linear model to obtain a mapped value; and
determining a predicted value of the to-be-predicted picture component of the current block according to the mapped value;
wherein determining the multiple first picture component reference values according to the first picture component reference value set comprises: determining the multiple first picture component reference values from samples in one or more neighboring lines at a top side of the current block according to four preset positions, or determining the multiple first picture component reference values from samples in one or more neighboring columns at a left side of the current block according to four preset positions.
3. The method of claim 2, wherein determining the multiple filtered first picture reference sample values based on the set of greater first picture component reference values and set of smaller first picture component reference values comprises: performing mean processing on the set of greater first picture component reference values to obtain a filtered maximum first picture component reference value; and performing mean processing on the set of smaller first picture component reference values to obtain a filtered minimum first picture component reference value.
5. The method of claim 3, further comprising: determining a maximum to-be-predicted picture component reference value corresponding to the filtered maximum first picture component reference value and a minimum to-be-predicted picture component reference value corresponding to the filtered minimum first picture component reference value.
6. The method of claim 5, wherein determining the parameter of the component linear model according to the multiple filtered first picture reference sample values and corresponding to-be-predicted picture component reference values comprises: determining the parameter of the component linear model according to the filtered maximum first picture component reference value, the maximum to-be-predicted picture component reference value, the filtered minimum first picture component reference value and the minimum to-be-predicted picture component reference value, the component linear model characterizing the linear mapping relationship for mapping the sample value of the first picture component to the sample value of the to-be-predicted picture component.
2. The method of claim 1, wherein the neighboring first picture component samples of the current block comprise at least one of: samples in one or more neighboring lines at a top side of the current block, or samples in one or more neighboring columns at a left side of the current block.
3. The method of claim 2, wherein determining the multiple first picture component reference samples from the first picture component reference sample set comprises:
determining four preset sample positions; and
determining the multiple first picture component reference samples from the samples in the one or more neighboring lines at the top side of the current block and/or the samples in the one or more neighboring columns at the left side of the current block according to the four preset sample positions.
5. A picture component prediction method, applied to an encoder, the method comprising: determining a first picture component reference sample set of a current block based on neighboring first picture component samples of the current block; determining multiple first picture component reference samples from the first picture component reference sample set according to four preset sample positions; performing first filtering processing on the multiple first picture component reference samples, to obtain filtered first picture component reference samples; determining to-be-predicted picture component reference samples corresponding to the filtered first picture component reference samples, a to-be-predicted picture component being a picture component different from a first picture component; determining a filtered maximum first picture component reference sample and a filtered minimum first picture component reference sample based on the filtered first picture component reference samples; determining a maximum to-be-predicted picture component reference sample corresponding to the filtered maximum first picture component reference sample and a minimum to-be-predicted picture component reference sample corresponding to the filtered minimum first picture component reference sample; and determining a parameter of a component model according to the filtered maximum first picture component reference sample, the filtered minimum first picture component reference sample, the maximum to-be-predicted picture component reference sample and the minimum to-be-predicted picture component reference sample, the component model characterizing a mapping relationship for mapping a sample of the first picture component to a sample of the to- be-predicted picture component; performing mapping processing on a reconstructed sample of the first picture component of the current block according to the component model to determine a predicted sample of the to-be-predicted picture component of the current block.
11. A picture component prediction method, applied to an encoder, the method comprising: determining a first picture component reference value set of a current block; determining multiple first picture component reference values according to the first picture component reference value set, wherein the multiple first picture component reference values include four reference values corresponding to four preset sample positions, respectively; performing first filtering processing on sample values of samples corresponding to the multiple first picture component reference values, respectively, to determine multiple filtered first picture reference sample values; determining a parameter of a component linear model according to the multiple filtered first picture reference sample values and corresponding to-be-predicted picture component reference values, the to-be-predicted picture component being a picture component which is different from the first picture component, and the component linear model characterizing a linear mapping relationship for mapping a sample value of the first picture component to a sample value of the to-be-predicted picture component; performing mapping processing on a reconstructed value of the first picture component of the current block according to the component linear model to obtain a mapped value; and determining a predicted value of the to-be-predicted picture component of the current block according to the mapped value; wherein determining the multiple first picture component reference values according to the first picture component reference value set comprises: determining the multiple first picture component reference values from samples in one or more neighboring lines at a top side of the current block according to four preset positions, or determining the multiple first picture component reference values from samples in one or more neighboring columns at a left side of the current block according to four preset positions.
13. The method of claim 12, wherein determining the multiple filtered first picture reference sample values based on the set of greater first picture component reference values and set of smaller first picture component reference values comprises: performing mean processing on the set of greater first picture component reference values to obtain a filtered maximum first picture component reference value; and performing mean processing on the set of smaller first picture component reference values to obtain a filtered minimum first picture component reference value.
15. The method of claim 13, further comprising: determining a maximum to-be-predicted picture component reference value corresponding to the filtered maximum first picture component reference value and a minimum to-be-predicted picture component reference value corresponding to the filtered minimum first picture component reference value.
16. The method of claim 15, wherein determining the parameter of the component linear model according to the multiple filtered first picture reference sample values and corresponding to-be-predicted picture component reference values comprises: determining the parameter of the component linear model according to the filtered maximum first picture component reference value, the maximum to-be-predicted picture component reference value, the filtered minimum first picture component reference value and the minimum to-be-predicted picture component reference value, the component linear model characterizing the linear mapping relationship for mapping the sample value of the first picture component to the sample value of the to-be-predicted picture component.
6. The method of claim 5, wherein the neighboring first picture component samples of the current block comprise at least one of: samples in one or more neighboring lines at a top side of the current block, or samples in one or more neighboring columns at a left side of the current block.
7. The method of claim 6, wherein determining the multiple first picture component reference samples from the first picture component reference sample set comprises: determining four preset sample positions; and determining the multiple first picture component reference samples from the samples in the one or more neighboring lines at the top side of the current block and/or the samples in the one or more neighboring columns at the left side of the current block according to the four preset sample positions.
9. A non-transitory computer-readable storage medium storing therein a bitstream and a computer program, wherein the computer program, when processed by a processor, implements a picture component prediction method to generate the bitstream, and the method comprises: determining a first picture component reference sample set of a current block based on neighboring first picture component samples of the current block; determining multiple first picture component reference samples from the first picture component reference sample set according to four preset sample positions; performing first filtering processing on the multiple first picture component reference samples, to obtain filtered first picture component reference samples; determining to-be-predicted picture component reference samples corresponding to the filtered first picture component reference samples, a to-be-predicted picture component being a picture component different from a first picture component; determining a filtered maximum first picture component reference sample and a filtered minimum first picture component reference sample based on the filtered first picture component reference samples; determining a maximum to-be-predicted picture component reference sample corresponding to the filtered maximum first picture component reference sample and a minimum to-be-predicted picture component reference sample corresponding to the filtered minimum first picture component reference sample; and determining a parameter of a component model according to the filtered maximum first picture component reference sample, the filtered minimum first picture component reference sample, the maximum to-be-predicted picture component reference sample and the minimum to-be-predicted picture component reference sample, the component model characterizing a mapping relationship for mapping a sample of the first picture component to a sample of the to- be-predicted picture component; performing mapping processing on a reconstructed sample of the first picture component of the current block according to the component model to determine a predicted sample of the to-be-predicted picture component of the current block.
21. A non-transitory computer-readable storage medium, having a computer program and a bitstream stored thereon, wherein the computer program, when executed by a processor, enables the processor to perform a picture component prediction method to generate the bitstream, and the method comprises: determining a first picture component reference value set of a current block; determining multiple first picture component reference values according to the first picture component reference value set, wherein the multiple first picture component reference values include four reference values corresponding to four preset sample positions, respectively; performing first filtering processing on sample values of samples corresponding to the multiple first picture component reference values, respectively, to determine multiple filtered first picture reference sample values; determining a parameter of a component linear model according to the multiple filtered first picture reference sample values and corresponding to-be-predicted picture component reference values, the to-be-predicted picture component being a picture component which is different from the first picture component, and the component linear model characterizing a linear mapping relationship for mapping a sample value of the first picture component to a sample value of the to-be-predicted picture component; performing mapping processing on a reconstructed value of the first picture component of the current block according to the component linear model to obtain a mapped value; and determining a predicted value of the to-be-predicted picture component of the current block according to the mapped value; wherein determining the multiple first picture component reference values according to the first picture component reference value set comprises: determining the multiple first picture component reference values from samples in one or more neighboring lines at a top side of the current block according to four preset positions, or determining the multiple first picture component reference values from samples in one or more neighboring columns at a left side of the current block according to four preset positions.
13. The method of claim 12, wherein determining the multiple filtered first picture reference sample values based on the set of greater first picture component reference values and set of smaller first picture component reference values comprises: performing mean processing on the set of greater first picture component reference values to obtain a filtered maximum first picture component reference value; and performing mean processing on the set of smaller first picture component reference values to obtain a filtered minimum first picture component reference value.
15. The method of claim 13, further comprising: determining a maximum to-be-predicted picture component reference value corresponding to the filtered maximum first picture component reference value and a minimum to-be-predicted picture component reference value corresponding to the filtered minimum first picture component reference value.
16. The method of claim 15, wherein determining the parameter of the component linear model according to the multiple filtered first picture reference sample values and corresponding to-be-predicted picture component reference values comprises: determining the parameter of the component linear model according to the filtered maximum first picture component reference value, the maximum to-be-predicted picture component reference value, the filtered minimum first picture component reference value and the minimum to-be-predicted picture component reference value, the component linear model characterizing the linear mapping relationship for mapping the sample value of the first picture component to the sample value of the to-be-predicted picture component.
10. The non-transitory computer-readable storage medium of claim 9, wherein the neighboring first picture component samples of the current block comprise at least one of: samples in one or more neighboring lines at a top side of the current block, or samples in one or more neighboring columns at a left side of the current block.
11. The non-transitory computer-readable storage medium of claim 10, wherein determining the multiple first picture component reference samples from the first picture component reference sample set comprises: determining four preset sample positions; and determining the multiple first picture component reference samples from the samples in the one or more neighboring lines at the top side of the current block and/or the samples in the one or more neighboring columns at the left side of the current block according to the four preset sample positions.
Conclusion
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SHANIKA M. BRUMFIELD
Examiner
Art Unit 2487
/SHANIKA M BRUMFIELD/Examiner, Art Unit 2487
/CHIKAODILI E ANYIKIRE/Primary Examiner, Art Unit 2487
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