Prosecution Insights
Last updated: August 17, 2026
Application No. 18/720,919

Method and Apparatus for Cross Component Linear Model with Multiple Hypotheses Intra Modes in Video Coding System

Non-Final OA §102§103
Filed
Jun 17, 2024
Priority
Dec 21, 2021 — provisional 63/291,997 +1 more
Examiner
GEROLEO, FRANCIS
Art Unit
3619
Tech Center
3600 — Transportation & Electronic Commerce
Assignee
MediaTek Inc.
OA Round
3 (Non-Final)
74%
Grant Probability
Favorable
3-4
OA Rounds
5m
Est. Remaining
92%
With Interview

Examiner Intelligence

Grants 74% — above average
74%
Career Allowance Rate
439 granted / 597 resolved
+21.5% vs TC avg
Strong +18% interview lift
Without
With
+18.3%
Interview Lift
resolved cases with interview
Typical timeline
2y 7m
Avg Prosecution
28 currently pending
Career history
633
Total Applications
across all art units

Statute-Specific Performance

§101
6.4%
-33.6% vs TC avg
§103
55.4%
+15.4% vs TC avg
§102
15.7%
-24.3% vs TC avg
§112
12.4%
-27.6% vs TC avg
Black line = Tech Center average estimate • Based on career data from 597 resolved cases

Office Action

§102 §103
DETAILED ACTION Notice of Pre-AIA or AIA Status The present application, filed on or after March 16, 2013, is being examined under the first inventor to file provisions of the AIA . Continued Examination Under 37 CFR 1.114 A request for continued examination under 37 CFR 1.114, including the fee set forth in 37 CFR 1.17(e), was filed in this application after final rejection. Since this application is eligible for continued examination under 37 CFR 1.114, and the fee set forth in 37 CFR 1.17(e) has been timely paid, the finality of the previous Office action has been withdrawn pursuant to 37 CFR 1.114. Applicant's submission filed on 4/24/26 has been entered. Claim Rejections - 35 USC § 102 The following is a quotation of the appropriate paragraphs of 35 U.S.C. 102 that form the basis for the rejections under this section made in this Office action: A person shall be entitled to a patent unless – (a)(2) the claimed invention was described in a patent issued under section 151, or in an application for patent published or deemed published under section 122(b), in which the patent or application, as the case may be, names another inventor and was effectively filed before the effective filing date of the claimed invention. Claim(s) 1-2, 4-10, 16 is/are rejected under 35 U.S.C. 102(a)(2) as being anticipated by US 2024/0155134 A1 (“Jeon”). Regarding claim 1, Jeon discloses a method of intra prediction for colour pictures, the method comprising: receiving input data associated with a current block comprising at least one colour block, wherein the input data comprise pixel data for the current block to be encoded at an encoder side or encoded data associated with said at least one colour block to be decoded at a decoder side, and wherein the current block is coded in an intra block mode (e.g. see coding units that include chroma block are obtained for intra prediction, paragraphs [0007]-[0010], in an encoder or decoder, e.g. as shown in Fig. 1 and Fig. 5, respectively); determining a blending predictor according to a weighted sum of at least two candidate predictions generated based on one or more first hypotheses of prediction, one or more second hypotheses of prediction, or both (e.g. see weighted combination of the first predictor and the second predictor, paragraphs [0138]-[0144]), wherein said one or more first hypotheses of prediction are generated based on one or more intra prediction modes comprising a DC mode, a planar mode or at least one angular modes (e.g. see available prediction modes illustrated for example in Fig. 3A such as planar mode, DC mode, etc., paragraphs [0147]-[0150]) and said one or more second hypotheses of prediction are generated based on one or more cross-component modes and a collocated block of said at least one colour block (e.g. see cross-component prediction modes, paragraphs [0147]-[0150] and Fig. 1 that also shows corresponding luma region/block), wherein when more neighboring blocks of the current block are coded with a cross-component mode, a larger weight is used for one hypothesis of prediction associated with the cross-component mode (e.g. see when the present example follows Equation 4 (see paragraphs [0141]-[0142]) the neighboring pixel correlation rc (=1- wintra) of the predictor (predCCLM) may be inferred using the prediction mode for generating the predictor (predCCLM) of the current chroma block (hereinafter referred to as a ‘representative mode’) and using information on the neighboring blocks adjacent to the chroma block. Here, the prediction mode of the current chroma block and each neighboring block may be the cross-component prediction mode as described above. For example, the ratio of the adjacent blocks using the representative mode among the blocks adjacent to the current block may be calculated based on the number of blocks and rc may be derived, paragraph [0276]; thus, for example if Fig. 25 (see paragraphs [0265]-[0267]) has three cross-component prediction modes neighboring the current chroma block, i.e. the representative mode is cross-component prediction mode, instead of the three planar or PL modes, then rc = 1-wintra = 3/5 and wintra = 2/5, which gives a larger weight to predCCLM in Equation 4); and encoding the input data associated with said at least one colour block using the blending predictor at the encoder side or decoding the input data associated with said at least one colour block using the blending predictor at the decoder side (e.g. see coding units that include chroma block are obtained for intra prediction, paragraphs [0007]-[0010], in an encoder or decoder, e.g. as shown in Fig. 1 and Fig. 5, respectively). Regarding claim 2, Jeon further discloses wherein said one or more second hypotheses of prediction correspond to CCLM (Cross-Colour Linear Model) prediction, wherein model parameters a and b for the CCLM prediction are determined based on neighbouring reconstructed pixels of the collocated block and neighbouring reconstructed pixels of said at least one colour block, and a pixel value for said at least one colour block is predicted according to a*recL’ + b and recL’ corresponds to one down-sampled pixel value for the collocated block (e.g. see neighboring pixels referenced for CCLM prediction shown in Fig. 6 to generate a predictor according to equation 2, paragraphs [0121]-[0126]). Regarding claim 4, Jeon further discloses wherein equal weights are used for the weighted sum of said at least two candidate predictions (e.g. see at least equal weights, paragraphs [0260]-[0261]). Regarding claim 5, Jeon further discloses wherein weights for the weighted sum of said at least two candidate predictions are determined according to neighbouring coding information, sample position, block width, block height, block area, coding mode or a combination thereof (e.g. see at least width/height/area prediction mode, etc., paragraph [0255]). Regarding claim 6, Jeon further discloses wherein, when more neighbouring blocks of the current block are coded with a target mode, a larger weight is used for one hypothesis of prediction associated with the target mode (e.g. see setting a value of the weight WCCLM using neighboring pixel correlation rC based on representative mode, paragraphs [0263]-[0276], and/or using luma pixel correlation RL based on representative mode, paragraphs [0277]-[0285]). Regarding claim 7, Jeon further discloses wherein the target mode corresponds to one cross-component mode (e.g. see setting a value of the weight WCCLM for the CCLM mode using neighboring pixel correlation rC based on representative mode, paragraphs [0263]-[0276], and/or using luma pixel correlation RL based on representative mode, paragraphs [0277]-[0285]; also see paragraph [0327]). Regarding claim 8, Jeon further discloses wherein the current block is partitioned into multiple regions and sample positions in a same region share a same weight (e.g. see grouping pixels and setting a weight for each group, paragraphs [0286]-[0297]). Regarding claim 10, Jeon further discloses wherein said at least two candidate predictions comprise at least one first hypothesis of prediction and at least one second hypothesis of prediction (e.g. see weighted combination of the first predictor and the second predictor, paragraphs [0138]-[0144]). Regarding claim 16, the claim recites analogous limitations to the claim above and is therefore rejected on the same premise. Claim Rejections - 35 USC § 103 The following is a quotation of 35 U.S.C. 103 which forms the basis for all obviousness rejections set forth in this Office action: A patent for a claimed invention may not be obtained, notwithstanding that the claimed invention is not identically disclosed as set forth in section 102, if the differences between the claimed invention and the prior art are such that the claimed invention as a whole would have been obvious before the effective filing date of the claimed invention to a person having ordinary skill in the art to which the claimed invention pertains. Patentability shall not be negated by the manner in which the invention was made. Claim(s) 3 is/are rejected under 35 U.S.C. 103 as being unpatentable over Jeon in view of WO 2018/053293 A1 (“Wang”) (Note: Wang is included in the IDS). Regarding claim 3, although Jeon discloses said one or more second hypotheses of prediction (e.g. see cross-component prediction modes, paragraphs [0147]-[0150] and Fig. 1 that also shows corresponding luma region/block), it is noted Jeon differs from the present invention in that it fails to particularly disclose wherein said one or more second hypotheses of prediction correspond to MMLM (Multiple Model CCLM) and one of two models of CCLM (Cross-Colour Linear Model) prediction is selected according to a reconstructed pixel value for the collocated block. Wang however, teaches wherein said one or more second hypotheses of prediction correspond to MMLM (Multiple Model CCLM) and one of two models of CCLM (Cross-Colour Linear Model) prediction is selected according to a reconstructed pixel value for the collocated block (e.g. see MMLM to use more than one linear model from luma components of the block, paragraphs [0044], [0128], [0152]-[0153]). Therefore, given the teachings as a whole, it would have been obvious to one of ordinary skill in the art before the effective filing date of the claimed invention, having the references of Jeon and Wang before him/her, to incorporate the teachings of Wang into the Method and apparatus for video coding using improved cross-component linear model prediction of Jeon in order to improve coding gain with increase in encoding efficiency while improving the visual quality of video data encoded and decoded. Claim(s) 11-15 is/are rejected under 35 U.S.C. 103 as being unpatentable over Jeon in view of US 2023/0262223 A1 (“Ghaznavi”). Regarding claim 11, although Jeon discloses wherein said blending predictor is applied to a region within the current block (e.g. see grouping pixels and setting a weight for each group, paragraphs [0286]-[0297], e.g. see at least Fig. 30 (g) and Fig. 31), it is noted Jeon differs from the present invention in that it fails to particularly disclose wherein said blending predictor is only applied to a region within the current block. Ghaznavi however, teaches wherein the said blending predictor is only applied to a region within the current block (e.g. see the final prediction may be calculated with one or more CCLM modes and one or more derived modes, paragraph [0222]; thus, for the right-bottom region such as illustrated in Fig. 31 and Fig. 30 (g) of Jeon, which has a weight of 1 for CCLM and weight 0 for intra, adding additional CCLM mode prediction as taught by Ghaznavi meet the limitations since the final prediction would be calculated based on two or more CCLM modes only). Therefore, given the teachings as a whole, it would have been obvious to one of ordinary skill in the art before the effective filing date of the claimed invention, having the references of Jeon and Ghaznavi before him/her, to incorporate the teachings of Ghaznavi into the Method and apparatus for video coding using improved cross-component linear model prediction of Jeon in order to improve the prediction performance of the CCLM prediction and enable the storage/transmission of video information at a lower bitrate. Regarding claim 12, Jeon in view of Ghaznavi further teaches wherein the region corresponds to a right-bottom region of the current block (Ghaznavi: e.g. see the final prediction may be calculated with one or more CCLM modes and one or more derived modes, paragraph [0222]; thus, for the right-bottom region such as illustrated in Fig. 31 and Fig. 30 (g) of Jeon, which has a weight of 1 for CCLM and weight 0 for intra, adding additional CCLM mode prediction as taught by Ghaznavi meet the limitations since the final prediction would be calculated based on two or more CCLM modes only). The motivation above in the rejection of claim 11 applies here. Regarding claim 13, although Jeon discloses at least two candidate predictions (e.g. see weighted combination of the first predictor and the second predictor, paragraphs [0138]-[0144]), it is noted Jeon differs from the present invention in that it fails to particularly disclose wherein said at least two candidate predictions correspond to at least two second hypotheses of prediction. Ghaznavi however, teaches wherein said at least two candidate predictions correspond to at least two second hypotheses of prediction (e.g. see the final prediction may be calculated with one or more CCLM modes and one or more derived modes, paragraph [0222]). The motivation above in the rejection of claim 11 applies here. Regarding claim 14, although Jeon discloses said at least one colour block, it is noted Jeon differs from the present invention in that it fails to particularly disclose wherein said at least one colour block corresponds to a Cr block and the collocated block corresponds to a Cb block, or said at least one colour block corresponds to the Cb block and the collocated block corresponds to the Cr block. Ghaznavi however, teaches wherein said at least one colour block corresponds to a Cr block and the collocated block corresponds to a Cb block, or said at least one colour block corresponds to the Cb block and the collocated block corresponds to the Cr block (e.g. see intra prediction mode derived from reference channel such as co-located block in the luma channel or alternatively chroma channels (e.g., Cb and Cr), paragraphs [0188], [0190]). The motivation above in the rejection of claim 11 applies here. Regarding claim 15, although Jeon discloses one or more pre-defined cross-component modes (e.g. see three modes of CCLM, paragraphs [0120], [0126]), it is noted Jeon differs from the present invention in that it fails to particularly disclose wherein said at least two second hypotheses of prediction are generated from one or more pre-defined cross-component modes. Ghaznavi however, teaches wherein said at least two second hypotheses of prediction are generated from one or more pre-defined cross-component modes (e.g. see the final prediction may be calculated with one or more CCLM modes and one or more derived modes, paragraph [0222], and see three cross-component linear model modes, paragraph [0156]). The motivation above in the rejection of claim 11 applies here. Response to Arguments Applicant's arguments filed 4/24/26 have been fully considered but they are not persuasive. Applicant asserts on pages 8-12 of the Remarks that Jeon does not disclose “wherein when more neighbouring blocks of the current block are coded with a cross-component mode, a larger weight is used for one hypothesis of prediction associated with the cross-component mode” because paragraphs [0265]-[0268], and [0280]-[0281], [0284] of Jeon merely disclose a representative mode “that is NOT a CCLM mode” and Jeon is “also silent about CCLM mode as a mode for neighboring blocks”. However, the examiner respectfully disagrees. Paragraph [0276] of Jeon in conjunction with paragraphs [0141]-[0142] disclose that a larger weight, i.e. 1-wintra, is used for predCCLM in Equation 4 when more neighboring blocks of the current block are coded with cross-component prediction mode, e.g. based on the ratio of the adjacent blocks using the representative mode, i.e. cross-component prediction mode, among the blocks adjacent to the current block. For example if Fig. 25 (see paragraphs [0265]-[0267]) has three cross-component prediction modes neighboring the current chroma block, i.e. the representative mode is cross-component prediction mode, instead of the three planar or PL modes, then rc = 1-wintra = 3/5 and wintra = 2/5, which gives a larger weight to predCCLM in Equation 4. Conclusion The prior art made of record and not relied upon is considered pertinent to applicant's disclosure. US 2024/0244195 A1, Wang et al., Method, device, and medium for video processing Any inquiry concerning this communication or earlier communications from the examiner should be directed to FRANCIS G GEROLEO whose telephone number is (571)270-7206. The examiner can normally be reached M-F 7:00 am - 3:30 pm. Examiner interviews are available via telephone, in-person, and video conferencing using a USPTO supplied web-based collaboration tool. To schedule an interview, applicant is encouraged to use the USPTO Automated Interview Request (AIR) at http://www.uspto.gov/interviewpractice. If attempts to reach the examiner by telephone are unsuccessful, the examiner’s supervisor, Anna M Momper can be reached on (571) 270-5788. The fax phone number for the organization where this application or proceeding is assigned is 571-273-8300. Information regarding the status of published or unpublished applications may be obtained from Patent Center. Unpublished application information in Patent Center is available to registered users. To file and manage patent submissions in Patent Center, visit: https://patentcenter.uspto.gov. Visit https://www.uspto.gov/patents/apply/patent-center for more information about Patent Center and https://www.uspto.gov/patents/docx for information about filing in DOCX format. For additional questions, contact the Electronic Business Center (EBC) at 866-217-9197 (toll-free). If you would like assistance from a USPTO Customer Service Representative, call 800-786-9199 (IN USA OR CANADA) or 571-272-1000. /Francis Geroleo/Primary Examiner, Art Unit 3619
Read full office action

Prosecution Timeline

Jun 17, 2024
Application Filed
Sep 04, 2025
Non-Final Rejection mailed — §102, §103
Jan 02, 2026
Response Filed
Jan 26, 2026
Final Rejection mailed — §102, §103
Apr 24, 2026
Request for Continued Examination
Apr 29, 2026
Response after Non-Final Action
Aug 05, 2026
Non-Final Rejection mailed — §102, §103 (current)

Precedent Cases

Applications granted by this same examiner with similar technology

Patent 12707046
GPM-BASED IMAGE CODING METHOD AND DEVICE
2y 5m to grant Granted Aug 11, 2026
Patent 12707041
Method and Apparatus of Decoder Side Intra Mode Derivation Based Most Probable Modes List Construction in Video Coding System
1y 9m to grant Granted Aug 11, 2026
Patent 12671848
PIXEL VALUE MAPPING METHOD
2y 3m to grant Granted Jun 30, 2026
Patent 12671803
DEVICE AND METHOD FOR DECODING VIDEO DATA
1y 9m to grant Granted Jun 30, 2026
Patent 12663310
LIGHT RECEIVER CIRCUIT AND LIGHT SENSOR ARRAY COMPRISING A LIGHT RECEIVER CIRCUIT
2y 11m to grant Granted Jun 23, 2026
Study what changed to get past this examiner. Based on 5 most recent grants.

Strategy Recommendation AI-generated — please review before filing

Get a prosecution strategy drawn from examiner precedents, rejection analysis, and claim mapping.
Typically takes 5-10 seconds — AI-generated, attorney review required before filing

Prosecution Projections

3-4
Expected OA Rounds
74%
Grant Probability
92%
With Interview (+18.3%)
2y 7m (~5m remaining)
Median Time to Grant
High
PTA Risk
Based on 597 resolved cases by this examiner. Grant probability derived from career allowance rate.

Sign in with your work email

Enter your email to receive a magic link. No password needed.

Personal email addresses (Gmail, Yahoo, etc.) are not accepted.

Free tier: 3 strategy analyses per month