Prosecution Insights
Last updated: May 29, 2026
Application No. 18/630,245

SYSTEMS AND METHODS FOR REMOVING OVERLAP FOR A NEURAL NETWORK POST-FILTER IN VIDEO CODING

Non-Final OA §103
Filed
Apr 09, 2024
Priority
Apr 13, 2023 — provisional 63/459,245
Examiner
WILLIAMS, JEFFERY A
Art Unit
2488
Tech Center
2400 — Computer Networks
Assignee
Sharp Kabushiki Kaisha
OA Round
3 (Non-Final)
84%
Grant Probability
Favorable
3-4
OA Rounds
5m
Est. Remaining
93%
With Interview

Examiner Intelligence

Grants 84% — above average
84%
Career Allowance Rate
770 granted / 922 resolved
+25.5% vs TC avg
Moderate +9% lift
Without
With
+9.2%
Interview Lift
resolved cases with interview
Typical timeline
2y 7m
Avg Prosecution
29 currently pending
Career history
973
Total Applications
across all art units

Statute-Specific Performance

§101
2.6%
-37.4% vs TC avg
§103
76.4%
+36.4% vs TC avg
§102
7.7%
-32.3% vs TC avg
§112
10.9%
-29.1% vs TC avg
Black line = Tech Center average estimate • Based on career data from 922 resolved cases

Office Action

§103
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 . Response to Arguments Applicant’s arguments with respect to the 35 USC 103 rejection of claims 1 and 2 have been fully considered and are persuasive. The 35 USC 103 rejection of claims 1 and 2 has been withdrawn. 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 (i.e., changing from AIA to pre-AIA ) 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, 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. The factual inquiries for establishing a background for determining obviousness under 35 U.S.C. 103 are summarized as follows: 1. Determining the scope and contents of the prior art. 2. Ascertaining the differences between the prior art and the claims at issue. 3. Resolving the level of ordinary skill in the pertinent art. 4. Considering objective evidence present in the application indicating obviousness or nonobviousness. Claim(s) 1 and 2 is/are rejected under 35 U.S.C. 103 as being unpatentable over Wang (US 2025/0191234) in view of Esenlik et al. (Esenlik) (US 2023/0336784). Regarding claims 1 and 2, Wang discloses a device comprising one or more processors configured to: receive a neural network post-filter characteristics supplemental enhancement information (SEI) message ([0013], neural network post-filter characteristic SEI signal is received); parse a first syntax element in the neural network post-filter characteristics SEI message, wherein the first syntax indicates overlapping horizontal and vertical sample counts of adjacent input tensors ([0088], a syntax element nnpfc_overlap indicates the number of horizontal pixels and the number of vertical pixels for which neighboring input tensors are overlapped. The value of nnpfc_overlap is a value from 0 to 16383) of a neural network post-filter corresponding to the neural network post-filter characteristics SEI message ([0013], neural network post-filter characteristic SEI signal is received) and the first syntax element is in a range of 0 to 16,383, inclusive ([0088], a syntax element nnpfc_overlap indicates the number of horizontal pixels and the number of vertical pixels for which neighboring input tensors are overlapped. The value of nnpfc_overlap is a value from 0 to 16383); derive an input tensor for the neural network post-filter based on the indicated overlapping horizontal and vertical sample counts ([0092], TABLE 23 an input tensor is derived using overlap sample counts); and generate a filtered picture using the neural network post-filter based on the derived input tensor ([0088], input tensors are used for post-filtering). Wang is silent about wherein the filtered picture generated by the neural network post-filter does not include overlap regions. Esenlik from the same or similar field of endeavor discloses wherein the filtered picture generated by the neural network post-filter does not include overlap regions ([0346], [0368], [0463]-[0465], a cropped image which removes overlap regions is generated). It would have been obvious to one of ordinary skill in the art before the effective filing date of the claimed invention to incorporate the teachings of Esenlik into the teachings of Wang for more efficient image encoding/decoding. Conclusion Applicant's amendment necessitated the new ground(s) of rejection presented in this Office action. Accordingly, THIS ACTION IS MADE FINAL. See MPEP § 706.07(a). Applicant is reminded of the extension of time policy as set forth in 37 CFR 1.136(a). A shortened statutory period for reply to this final action is set to expire THREE MONTHS from the mailing date of this action. In the event a first reply is filed within TWO MONTHS of the mailing date of this final action and the advisory action is not mailed until after the end of the THREE-MONTH shortened statutory period, then the shortened statutory period will expire on the date the advisory action is mailed, and any nonprovisional extension fee (37 CFR 1.17(a)) pursuant to 37 CFR 1.136(a) will be calculated from the mailing date of the advisory action. In no event, however, will the statutory period for reply expire later than SIX MONTHS from the mailing date of this final action. Any inquiry concerning this communication or earlier communications from the examiner should be directed to JEFFERY A WILLIAMS whose telephone number is (571)270-7579. The examiner can normally be reached M-F 8:00-5:00. 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, Sath Perungavoor can be reached at 571-272-7455. 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. /JEFFERY A WILLIAMS/Primary Examiner, Art Unit 2488
Read full office action

Prosecution Timeline

Apr 09, 2024
Application Filed
May 29, 2025
Non-Final Rejection mailed — §103
Aug 12, 2025
Response Filed
Feb 26, 2026
Final Rejection mailed — §103
Apr 15, 2026
Response after Non-Final Action
Apr 30, 2026
Non-Final Rejection mailed — §103 (current)

Precedent Cases

Applications granted by this same examiner with similar technology

Patent 12636125
AUTOMATIC DETECTION AND PROCESSING OF POOR-QUALITY VIRTUAL THREE-DIMENSIONAL DENTAL MODELS
2y 7m to grant Granted May 26, 2026
Patent 12634425
IMAGE DATA ENCODING/DECODING METHOD AND APPARATUS
1y 12m to grant Granted May 19, 2026
Patent 12625265
ADDRESSING REDUNDANT MEMORY FOR LIDAR PIXELS
3y 4m to grant Granted May 12, 2026
Patent 12617559
MOVEMENT PREDICTION APPARATUS
3y 2m to grant Granted May 05, 2026
Patent 12621421
IMAGE DATA ENCODING/DECODING METHOD AND APPARATUS
1y 11m to grant Granted May 05, 2026
Study what changed to get past this examiner. Based on 5 most recent grants.

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Prosecution Projections

3-4
Expected OA Rounds
84%
Grant Probability
93%
With Interview (+9.2%)
2y 7m (~5m remaining)
Median Time to Grant
High
PTA Risk
Based on 922 resolved cases by this examiner. Grant probability derived from career allowance rate.

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