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 .
Claim Status
This Office Action responds to application 18/554120 filed on 4/23/26. Claims 1, 4-6, 9-10, and 15-16 are pending.
Claim Rejections - 35 USC § 103
In the event the determination of the status of the application as subject to AIA 35 U.S.C. 102 and 103 (or as subject to pre-AIA 35 U.S.C. 102 and 103) is incorrect, any correction of the statutory basis for the rejection will not be considered a new ground of rejection if the prior art relied upon, and the rationale supporting the rejection, would be the same under either status.
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 of this title, 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.
1. Claims 1, 4 - 6, 9, 10, 15, and 16 are rejected under 35 U.S.C. 103 as being unpatentable over Kim et al., US 2023/0082561 A1 (hereinafter Kim) in view of Rossato et al., US 10873772 B2 (hereinafter Rossato), and further in view of Kai et al., US 2021/0158212 A1 (hereinafter Kai).
As for claim 1, Kim discloses a method of decoding feature maps from a bitstream, the method comprising: decoding ([0192], e.g., decoding), from the bitstream ([0191], e.g., bitstream), an encoded frame ([0191], e.g., encoded feature and [0085], e.g., frame) including a plurality of integer feature maps ([0191], e.g., feature and integer type), the encoded frame having been generated based on a first plurality of floating-point feature maps ([0191], e.g., feature and floating-point type); unpacking ([0192], e.g., decode, note unpacking implied) the decoded frame to decode the plurality of integer feature maps; a value ([0199], e.g., max(F)-min(F)) based on a maximum value ([0200], e.g., maximum value) among the first plurality of floating-point feature maps; generating a plurality of floating-point feature maps ([0199], e.g., equation 2, note the output) based on the value based on the maximum value and the decoded plurality of integer feature maps; and decoding a flag ([0205], e.g., flag information).
Kim does not explicitly disclose, but Rossato teaches decoding a value (col. 115, l. 6-27, e.g., decode the range value).
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 Kim and Rossato before him/her to modify the image encoding/decoding method and device for performing feature quantization/de-quantization, and recording medium for storing bitstream of Kim with the teaching of transmission of reconstruction data in a tiered signal quality hierarchy of Rossato with a motivation to process the data quickly and efficiently by using the range information .
Kim as modified by Rossato does not explicitly teach, but Kai teaches a flag ([0151], e.g., flag) indicating whether the value based on the maximum value is updated; wherein when the flag is 1, an updated value is used for generating a plurality of floating-point feature maps ([0151], e.g., 1 and needs to be updated), and when the flag is 0, the value based on the maximum value is used for generating a floating-point feature maps ([0151], e.g., 0 and will not be updated).
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 Kim, Rossato, and Kai before him/her to modify the image encoding/decoding method and device for performing feature quantization/de-quantization, and recording medium for storing bitstream of Kim with the teaching of learning method and learning apparatus of Kai with a motivation to process the data quickly and efficiently by using the update information in the flag.
As for claim 4, the claim recites an apparatus for decoding feature maps from encoded data of the method of claim 1, and is similarly analyzed.
As for claim 5, the claim recites a non-transitory computer-readable storage medium which stores a program for executing a method decoding feature maps from encoded data of the method of claim 1, and is similarly analyzed.
As for claim 6, the claim recites a method of encoding feature maps into encoded data of the method of claim 1, and is similarly analyzed.
As for claim 9, the claim recites an apparatus for encoding feature maps into encoded data of the method of claim 1, and is similarly analyzed.
As for claim 10, the claim recites a non-transitory computer-readable storage medium which stores a program for executing a method encoding feature maps into encoded data of the method of claim 1, and is similarly analyzed.
As for claim 15, most of limitations of this claim have been noted in the rejection of Claim 1. In addition, Kim further discloses decoding a value ([0199], e.g., max(F)-min(F)) based on a minimum value ([0200], e.g., minimum value) among the first plurality of floating- point feature maps; and generating the plurality of floating-point feature maps ([0199], e.g., equation 2, note the output) based on the value based on the maximum value, the value based on the minimum value and the decoded plurality of integer feature maps.
As for claim 16, most of limitations of this claim have been noted in the rejection of Claim 1. In addition, Kim further discloses encoding a value ([0199], e.g., max(F)-min(F)) based on a minimum value ([0200], e.g., minimum value) among the plurality of floating-point feature maps; and generating the plurality of floating-point feature maps ([0199], e.g., equation 2, note the output) based on the value based on the maximum value, the value based on the minimum value and the plurality of floating-point feature maps.
Citation of Pertinent Prior Art
The prior art made of record and not relied upon is considered pertinent to applicant's disclosure:
1. US 2005/0053294 discloses techniques and tools for progressive and interlaced video coding and decoding.
2. US 2006/0126962 discloses methods and systems for reducing blocking artifacts with reduced complexity for spatially-scalable video coding.
Conclusion
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/JOSEPH SUH/
Primary Examiner, Art Unit 2485
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