Prosecution Insights
Last updated: October 01, 2026
Application No. 19/145,028

REPRESENTATIVE PREDICTION MODE OF A BLOCK OF PIXELS

Non-Final OA §103
Filed
Jul 01, 2025
Priority
Jan 03, 2023 — provisional 63/478,199 +2 more
Examiner
GINGRICH, SHADAN HAGHANI
Art Unit
2485
Tech Center
2400 — Computer Networks
Assignee
MediaTek Inc.
OA Round
1 (Non-Final)
61%
Grant Probability
Moderate
1-2
OA Rounds
1y 8m
Est. Remaining
79%
With Interview

Examiner Intelligence

Grants 61% of resolved cases
61%
Career Allowance Rate
235 granted / 383 resolved
+3.4% vs TC avg
Strong +18% interview lift
Without
With
+17.6%
Interview Lift
resolved cases with interview
Typical timeline
2y 11m
Avg Prosecution
37 currently pending
Career history
421
Total Applications
across all art units

Statute-Specific Performance

§101
2.3%
-37.7% vs TC avg
§103
65.6%
+25.6% vs TC avg
§102
11.8%
-28.2% vs TC avg
§112
14.6%
-25.4% vs TC avg
Black line = Tech Center average estimate • Based on career data from 383 resolved cases

Office Action

§103
DETAILED ACTION 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. Claim(s) 1-2, 4-12, 15 are rejected under 35 U.S.C. 103 as being unpatentable over Yamamoto (US PG Publication 2020/0413091) in view of Xiu (US PG Publication 2019/0166370). Regarding Claim 1, Yamamoto (US PG Publication 2020/0413091) discloses a video coding (video image encoding/decoding device, Fig. 2, [0056]) method comprising: receiving data for a block of pixels (prediction blocks are one or more non-overlapping areas that constitute a coding node, a prediction process is conducted on each of these prediction blocks [0096]-[0097]) to be encoded or decoded (video image encoding/decoding device, Fig. 2, [0056]) as a current block of a current picture (a picture PICT being processed [0067]) of a video (video [0064]); generating a predictor (predicted image for each PU [0132]) for the current block (PU [0132]) using a first prediction mode (inter prediction parameters include a reference image index, an estimated motion vector index, and a motion vector difference [0124]; parameters for reconstructing the prediction mode include a flag mpm_flag related to a most probable mode (hereinafter designated MPM), an index mpm_idx for selecting an MPM, as well as an index rem_idx for designating a prediction mode other than an MPM [0125]); identifying a [] prediction mode (gradient derivation [0181]) as a representative prediction mode (transform coefficients selected based on gradient derived mode [0181]) of the current block (for each PU [0132], CU [0184]); and encoding or decoding (video image encoding/decoding device, Fig. 2, [0056]) the current block (prediction blocks are one or more non-overlapping areas that constitute a coding node, a prediction process is conducted on each of these prediction blocks [0096]-[0097]) by using the generated predictor for the current block (inter prediction parameters include a reference image index, an estimated motion vector index, and a motion vector difference [0124]; parameters for reconstructing the prediction mode include a flag mpm_flag related to a most probable mode (hereinafter designated MPM), an index mpm_idx for selecting an MPM, as well as an index rem_idx for designating a prediction mode other than an MPM [0125]) and the representative prediction mode (transform coefficients based on gradient derived mode [0181]). Yamamoto does not disclose, but Xiu (US PG Publication 2019/0166370) teaches identifying a second prediction mode (improve the accuracy of the estimated prediction mode based on local edge direction [0121]) … of the current block (current CU [0070]). One of ordinary skill in the art before the application was filed would have been motivated to supplement the prediction mode of Yamamoto with edge direction refinement because Xiu teaches that it might improve the operation of video encoders and decoders by decreasing, the number of bits required to encode and decode video [0018]. Regarding Claim 2, Yamamoto (US PG Publication 2020/0413091) discloses the video coding method of claim 1, wherein the first prediction mode is not a directional intra-prediction mode (planar, DC [0100], [0101]). Regarding Claim 4, Yamamoto (US PG Publication 2020/0413091) discloses the video coding method of claim 1, wherein the predictor for the current block is generated by using a block vector or a motion vector to identify a reference region in the current picture or in a reference picture (inter prediction image generation unit 309 [0075]) and the representative prediction mode is an intra prediction mode used to encode or decode pixel samples within or neighboring the reference region (use a prediction candidate Most Probable Mode (MPM) [0108]). Regarding Claim 5, Yamamoto (US PG Publication 2020/0413091) discloses the video coding method of claim 4, wherein identifying the [] prediction mode comprises searching a plurality of predefined positions (gradients of points Pn[0][0] (n=0, ... , N-1) at N gradient derivation target positions in the gradient derivation target image [0111]) within or neighboring the reference region in a predefined order (gradient derivation target image [0111]) for determining the [] prediction mode (angular mode derivation [0105]). Yamamoto does not disclose, but Xiu (US PG Publication 2019/0166370) teaches identifying the representative prediction mode (improve the accuracy of the estimated prediction mode based on local edge direction [0121]); determining the representative prediction mode (improve the accuracy of the estimated prediction mode based on local edge direction [0121]). One of ordinary skill in the art before the application was filed would have been motivated to supplement the prediction mode of Yamamoto with edge direction refinement because Xiu teaches that it might improve the operation of video encoders and decoders by decreasing, the number of bits required to encode and decode video [0018]. Regarding Claim 6, Yamamoto (US PG Publication 2020/0413091) discloses the video coding method of claim 1, wherein identifying the [] prediction mode (gradient [0110]) comprises deriving a plurality of histograms (histogram (frequencyHistMode) of the value modeValPn of the angular mode mode Val obtained for each point Pn [0161]) of gradients (gradients of each point Pn [0112]) for a plurality of intra prediction modes (angular mode corresponding to the gradients [0126]), wherein HoG for an intra prediction mode is derived based on a pre-defined set of the predictor for the current block (mode convert processing unit 310467 adds or subtracts mode_delta to or from a reference direction base_mode [region], and thereby derives a second angular mode modeVal [0143]). Yamamoto does not disclose, but Xiu (US PG Publication 2019/0166370) teaches identifying the representative prediction mode (improve the accuracy of the estimated prediction mode based on local edge direction [0121]). One of ordinary skill in the art before the application was filed would have been motivated to supplement the prediction mode of Yamamoto with edge direction refinement because Xiu teaches that it might improve the operation of video encoders and decoders by decreasing, the number of bits required to encode and decode video [0018]. Regarding Claim 7, Yamamoto (US PG Publication 2020/0413091) discloses the video coding method of claim 1, wherein encoding or decoding the current block comprises using a transform mode that is selected based on the [] prediction mode (transform coefficients according to angular mode derived from gradient [0181]) to perform transform or inverse transform (performs a frequency transform [0186]) for residuals of the predictor (prediction error [0186]) for the current block (for each CU [0184]) or transformed coefficients of the residuals for the current block (inverse transform [0187]). Yamamoto does not disclose, but Xiu (US PG Publication 2019/0166370) teaches based on the representative prediction mode (improve the accuracy of the estimated prediction mode based on local edge direction [0121]). One of ordinary skill in the art before the application was filed would have been motivated to supplement the prediction mode of Yamamoto with edge direction refinement because Xiu teaches that it might improve the operation of video encoders and decoders by decreasing, the number of bits required to encode and decode video [0018]. Regarding Claim 8, Yamamoto (US PG Publication 2020/0413091) discloses the video coding method of claim 7, wherein the representative prediction mode (gradient derivation [0181]) is used to select a transform set, a transpose flag, or both for non-separable transform (transform coefficients according to angular mode derived from gradient [0181]). Regarding Claim 9, Yamamoto (US PG Publication 2020/0413091) discloses the video coding method of claim 1, further comprising providing the [] prediction mode for use as a most probable mode for encoding or decoding a subsequent block (MPM [0108]). Yamamoto does not disclose, but Xiu (US PG Publication 2019/0166370) teaches providing the representative prediction mode for use (improve the accuracy of the estimated prediction mode based on local edge direction [0121]). One of ordinary skill in the art before the application was filed would have been motivated to supplement the prediction mode of Yamamoto with edge direction refinement because Xiu teaches that it might improve the operation of video encoders and decoders by decreasing, the number of bits required to encode and decode video [0018]. Regarding Claim 10, Yamamoto (US PG Publication 2020/0413091) discloses the video coding method of claim 1, wherein the current block is a luma component block and the [] prediction mode is used to encode or decode a collocated chroma component block (LM prediction [0103]). Yamamoto does not disclose, but Xiu (US PG Publication 2019/0166370) teaches representative prediction mode is used (improve the accuracy of the estimated prediction mode based on local edge direction [0121]). One of ordinary skill in the art before the application was filed would have been motivated to supplement the prediction mode of Yamamoto with edge direction refinement because Xiu teaches that it might improve the operation of video encoders and decoders by decreasing, the number of bits required to encode and decode video [0018]. Regarding Claim 11, Yamamoto (US PG Publication 2020/0413091) discloses the video coding method of claim 1, wherein the predictor for the current block is generated by matrix multiplication of a pre-defined or derived matrix and a set of input samples derived from samples neighboring the current block (Matrix intra prediction [0104]). Regarding Claim 12, Yamamoto (US PG Publication 2020/0413091) discloses the video coding method of claim 1, wherein the current block is a chroma component block and the predictor for the current block is generated by applying a cross-component model to a collocated luma component block (LM prediction [0103]). Regarding Claim 15, The claim is rejected on the grounds provided in Claim 1. Claim(s) 3, 13 are rejected under 35 U.S.C. 103 as being unpatentable over Yamamoto (US PG Publication 2020/0413091) in view of Xiu (US PG Publication 2019/0166370) and Kim (US PG Publication 2026/0156252). Regarding Claim 3, Yamamoto (US PG Publication 2020/0413091) discloses the video coding method of claim 1. Yamamoto does not disclose, but Xiu (US PG Publication 2019/0166370) teaches representative prediction mode is selected (improve the accuracy of the estimated prediction mode based on local edge direction [0121]). Yamamoto does not disclose, but Kim (US PG Publication 2026/0156252) teaches wherein the [] prediction mode is selected from a plurality of intra prediction modes (block search corresponding to the smallest cost [0255]) based on costs (cost [0255]), wherein the cost of an intra prediction mode is a difference between reconstructed samples (the template of the current block [0255]) and predicted samples of a neighboring region for the current block (template of the reference block [0255]) and the predicted samples of the neighboring region for the current block is generated based on the intra prediction mode (actually used block vector may be the first (or last) vector, and the rest of the block vectors may be sorted and stored in the order of small cost [0255]). One of ordinary skill in the art before the application was filed would have been motivated to supplement the prediction mode of Yamamoto with edge direction refinement because Xiu teaches that it might improve the operation of video encoders and decoders by decreasing, the number of bits required to encode and decode video [0018]. One of ordinary skill in the art before the application was filed would have been motivated to supplement the prediction mode of Yamamoto with inrta template matching because because Kim teaches that it would improve the quality of the reconstructed picture and to improve the coding efficiency [0061], [0063]. Regarding Claim 13, Yamamoto (US PG Publication 2020/0413091) discloses the video coding method of claim 1. Yamamoto does not disclose, but Kim (US PG Publication 2026/0156252) teaches wherein the predictor for the current block is generated based on a reference block that is identified by matching a first template region neighboring the current block with a second template region in the current picture or in a reference picture (sort and store block vectors in order of low cost. The cost may be calculated by using the template of the current block and the template of the reference block [0255]). One of ordinary skill in the art before the application was filed would have been motivated to supplement the prediction mode of Yamamoto with inrta template matching because because Kim teaches that it would improve the quality of the reconstructed picture and to improve the coding efficiency [0061], [0063]. Claim(s) 14 is rejected under 35 U.S.C. 103 as being unpatentable over Yamamoto (US PG Publication 2020/0413091) in view of Xiu (US PG Publication 2019/0166370) and Deng (2024/0121383). Regarding Claim 14, Yamamoto (US PG Publication 2020/0413091) discloses the video coding method of claim 1. Yamamoto does not disclose, but Deng (2024/0121383) teaches wherein the predictor for the current block is generated by combining predictions from multiple prediction hypotheses (multiple hypotheses prediction block [0224]). One of ordinary skill in the art before the application was filed would have been motivated to supplement the prediction mode of Yamamoto with multiple hypothesis prediction because Deng teaches that it advantageously improves coding efficiency, coding performance, and flexibility [0005]. Conclusion The prior art made of record and not relied upon is considered pertinent to applicant's disclosure: US 20220070451 A1 – DIMD uses HOG US 20250350753 A1, US 20110274164 A1 – transform based on mode US 20200366889 A1 – inter mode refinement based on gradient Any inquiry concerning this communication or earlier communications from the examiner should be directed to SHADAN E HAGHANI whose telephone number is (571)270-5631. The examiner can normally be reached M-F 9AM - 5PM. 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, Jay Patel can be reached at 571-272-2988. 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. /SHADAN E HAGHANI/Examiner, Art Unit 2485
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Prosecution Timeline

Jul 01, 2025
Application Filed
Sep 10, 2026
Non-Final Rejection mailed — §103 (current)

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Prosecution Projections

1-2
Expected OA Rounds
61%
Grant Probability
79%
With Interview (+17.6%)
2y 11m (~1y 8m remaining)
Median Time to Grant
Low
PTA Risk
Based on 383 resolved cases by this examiner. Grant probability derived from career allowance rate.

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