Prosecution Insights
Last updated: May 29, 2026
Application No. 18/569,032

IMAGE ENCODING/DECODING METHOD, METHOD FOR TRANSMITTING BITSTREAM, AND RECORDING MEDIUM STORING BITSTREAM

Non-Final OA §103
Filed
Dec 11, 2023
Priority
Aug 04, 2021 — RE 10-2021-0102792 +1 more
Examiner
BRUMFIELD, SHANIKA M
Art Unit
2487
Tech Center
2400 — Computer Networks
Assignee
LG Electronics Inc.
OA Round
3 (Non-Final)
68%
Grant Probability
Favorable
3-4
OA Rounds
3m
Est. Remaining
83%
With Interview

Examiner Intelligence

Grants 68% — above average
68%
Career Allowance Rate
268 granted / 391 resolved
+10.5% vs TC avg
Moderate +15% lift
Without
With
+14.6%
Interview Lift
resolved cases with interview
Typical timeline
2y 9m
Avg Prosecution
9 currently pending
Career history
415
Total Applications
across all art units

Statute-Specific Performance

§101
1.5%
-38.5% vs TC avg
§103
84.8%
+44.8% vs TC avg
§102
8.3%
-31.7% vs TC avg
§112
0.8%
-39.2% vs TC avg
Black line = Tech Center average estimate • Based on career data from 391 resolved cases

Office Action

§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and the fee set forth in 37 CFR 1.17(e) has been timely paid, the finality of the previous Office action has been withdrawn pursuant to 37 CFR 1.114.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 02 February 2026 has been entered. Response to Arguments Applicant's arguments filed 02 February 2026 have been fully considered but they are not persuasive. On pages 9 – 10, applicant argues that neither Kuo nor Kuo 2 teach wherein the modified chroma samples are derived based on a luma sample to which SAO filtering has been applied because the cited portion of Kuo 2 teaches utilizing luma samples to which deblocking filtering has been applied and not luma samples to which SAO filtering has been applied as claimed in the amended claims. While applicant’s arguments are understood, examiner respectfully disagrees. Examiner relies on a combination of Kuo and Kuo 2 in maintaining the rejection. Kuo and Kuo 2 both teach deriving modified chroma samples by applying CC-SAO filtering to a luma sample to which SAO filtering has been applied. See, Kuo, e.g. Figs. 6C and par. 106 and Kuo 2, e.g. Figs. 6B and 6G, and pars. 116 - 118: depicting and describing that modified chroma samples are derived by applying CC-SAO filtering to a luma sample to which SAO filtering has been applied, with Kuo 2 further describing that filtering depicting in Figs. 6A – 6D can also include optionally cascading CCSAO filtering after luma SAO filtering. The rejection, therefore, is maintained. On page 10, applicant argues that the combination of Kuo and Kuo 2 relies on impermissible hindsight because Kuo 2 does not suggest using a refined SAO filtered luma sample as a reference for CC-SAO because it uses deblocked samples instead. While applicant’s arguments are understood, examiner respectfully disagrees. Examiner relies on Kuo 2 in maintaining the rejection. Kuo 2 explicitly teaches using a refined SAO filtered luma sample as a reference for CC-SAO. See, e.g. Figs. 6B and 6G and pars. 116 – 118: depicting and describing that the system uses a SAO filtered luma sample as a reference for CC-SAO, the CC-SAO filtering being cascaded after SAO filtering of the luma sample. The rejection, therefore, is maintained. 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, 8, and 14 is/are rejected under 35 U.S.C. 103 as being unpatentable over Kuo et al. (WO 2022/093992) (hereinafter Kuo) in view of Kuo et al. (US 2024/0007652) (supported by provisional application no. 63/200,626) (hereinafter Kuo 2). Regarding claims 1, and 8, Kuo teaches an image decoding method performed by an image decoding apparatus, an image encoding method performed by an image encoding apparatus, , the image decoding method, and the image encoding method comprising: applying deblocking filtering to reconstructed samples (e.g. Fig. 6A and par. 104: depicting and describing that the system applies deblocking filtering to reconstructed luma, chroma Cb and chroma Cr samples); and deriving a modified luma sample and modified chroma samples by applying sample adaptive offset (SAO) filtering and cross component sample adaptive offset (CC-SAO) filtering to the reconstructed samples, to which the deblocking filtering has been applied (e.g. Figs. 6A – 6D and pars. 104 – 107: depicting and describing that the system generates filtered luma, chroma Cb and chroma Cr samples by applying SAO and CCSAO to the deblocked filtered luma, chroma Cb, and chroma Cr reconstructed samples), wherein the modified luma sample is derived by applying only the SAO filtering among the SAO filtering and the CC-SAO filtering to a luma sample, to which the deblocking filtering has been applied (e.g. Figs. 6A – 6D and pars. 104 - 107: depicting and describing that the filtered luma sample is generated by applying only SAO filtering to the reconstructed and deblocking filtered luma sample), wherein the modified chroma samples are derived based on applying the SAO filtering to chroma samples, to which the deblocking filtering has been applied, and applying the CC-SAO filtering to the chroma samples based on the chroma samples, to which the deblocking filtering has been applied, and a luma sample, to which the SAO filtering has been applied (e.g. Figs. 6A – 6D and 11, and pars. 104 and 132: depicting and describing that the filtered chroma Cb and chroma Cr samples are generated based on SAO filtering to the deblocking filtered reconstructed chroma Cb and chroma Cr samples, CCSAO filtering to the chroma Cb and chroma Cr samples, and on reconstructed luma samples, wherein the reconstructed luma samples are SAO filtered luma samples [see, e.g. Fig. 6C and pars. 104 - 107: depicting and describing that filtered chroma Cb and chroma Cr samples are based on SAO filtered reconstructed luma samples]), wherein the chroma samples include a cb sample, to which the deblocking filtering has been applied and a cr sample, to which the deblocking filtering has been applied (e.g. Figs. 6A and 11: depicting that the chroma samples include a cb sample to which deblocking filtering has been applied [DBF Cb] and a Cr sample to which deblocking filtering has been applied [DBF Cr]); wherein the modified chroma samples include a modified Cb sample and a modified Cr sample (e.g. Figs. 6A and 11: depicting that the modified chroma samples include a modified Cb sample and a modified Cr sample). Kuo does not explicitly teach: wherein the modified Cb sample is derived based on applying the SAO filtering to the Cb sample and applying the CC-SAO filtering to the Cb sample based on the Cb sample, the Cr sample, and the luma sample to which SAO filtering has been applied; and wherein the modified Cr sample is derived based on applying the SAO filtering to the Cr sample and applying the CC-SAO filtering to the Cr sample based on the Cr sample, the Cb sample, and the luma sample to which SAO filtering has been applied. Kuo, however, teaches an image encoding method and an image decoding method: wherein the modified Cb sample is derived based on applying the SAO filtering to the Cb sample and applying the CC-SAO filtering to the Cb sample based on the Cb sample, the Cr sample, and the luma sample to which SAO filtering has been applied (e.g. Fig. 6B and 6G, and pars. 116 - 118: depicting and describing that the modified Cb sample is derived based applying SAO filtering to the Cb sample [SAO Cb] and applying the CC-SAO filtering to the Cb sample based on the Cb sample, the Cr sample and the luma sample, the luma sample having SAO filtering applied [see, e.g. par. 116: describing that CC-SAO filtering depicting in Fig. 6B can be cascaded after SAO filtering of luma samples, one such example being depicted in Fig. 6G]); and wherein the modified Cr sample is derived based on applying the SAO filtering to the Cr sample and applying the CC-SAO filtering to the Cr sample based on the Cr sample, the Cb sample, and the luma sample to which SAO filtering has been applied (e.g. Figs. 6B and 6G, and pars. 116 - 118: depicting and describing that the modified Cr sample is derived based applying SAO filtering to the Cr sample [SAO Cr] and applying the CC-SAO filtering to the Cr sample based on the Cr sample, the Cb sample and the luma sample, the luma sample having SAO filtering applied [see, e.g. par. 116: describing that CC-SAO filtering depicting in Fig. 6B can be cascaded after SAO filtering of luma samples, one such example being depicted in Fig. 6G]). It therefore would have been obvious to one of ordinary skill in the art to modify the teachings of Kuo by adding the teachings of Kuo 2 in order for the modified Cb sample is derived based on applying the SAO filtering to the Cb sample and applying the CC-SAO filtering to the Cb sample based on the Cb sample, the Cr sample, and the luma sample and the modified Cr sample is derived based on applying the SAO filtering to the Cr sample and applying the CC-SAO filtering to the Cr sample based on the Cr sample, the Cb sample, and the luma sample. One of ordinary skill in the art would have been motivated to make such a modification because the modification improves coding efficiency by exploring cross-component relationship between the luma component and the chroma component (Kuo 2, e.g. par. 8: describing a desire to improve coding efficiency of both luma and chroma components by exploring cross-component relationship between luma and chroma components). Turning to claim 14, Kuo teaches a method for transmitting a bitstream, the method comprising: generating prediction samples (e.g. Fig. 2, element 41, and pars. 61 – 70: depicting and describing that the system generates prediction samples); deriving residual samples based on the prediction samples (e.g. Fig. 2, element 50, and par. 71: depicting and describing that the system derives residual video data based on the prediction samples); generating image information based on the residual samples (e.g. Fig. 2, elements 52, 54, and 56, and pars. 71 – 72: depicting and describing that the system generates encoded video data based on the residual samples, wherein the encoded video data is the equivalent of the image information); deriving reconstructed samples based on the prediction samples and the residual samples (e.g. Fig. 2, element 62, and par. 75: depicting and describing that the system derives a reconstructed sample based on the prediction samples and the residual samples); applying deblocking filtering to reconstructed samples (e.g. Fig. 6A and par. 104: depicting and describing that the system applies deblocking filtering to reconstructed luma, chroma Cb and chroma Cr samples); deriving a modified luma sample and modified chroma samples by applying sample adaptive offset (SAO) filtering and cross component sample adaptive offset (CC-SAO) filtering to the reconstructed samples, to which the deblocking filtering has been applied (e.g. Figs. 6A – 6D and pars. 104 – 107: depicting and describing that the system generates filtered luma, chroma Cb and chroma Cr samples by applying SAO and CCSAO to the deblocked filtered luma, chroma Cb, and chroma Cr reconstructed samples); and transmitting the bitstream for the image information (e.g. Fig. 1, element 16, and par. 50: describing that the bitstream is transmitted), wherein the modified luma sample is derived by only applying the SAO filtering among the SAO filtering and the CC-SAO filtering to a luma sample, to which the deblocking filtering has been applied (e.g. Figs. 6A – 6D and par. 104: depicting and describing that the filtered luma sample is generated by applying SAO filtering to the reconstructed and deblocking filtered luma sample), wherein the modified chroma samples are derived based on applying the SAO filtering to chroma samples, to which the deblocking filtering has been applied, and applying the CC-SAO filtering to the chroma samples based on the chroma samples, to which the deblocking filtering has been applied, and a luma sample, to which SAO filtering has been applied (e.g. Figs. 6A – 6D and 11, and pars. 104 and 132: depicting and describing that the filtered chroma Cb and chroma Cr samples are generated based on SAO filtering to the deblocking filtered reconstructed chroma Cb and chroma Cr samples, CCSAO filtering to the chroma Cb and chroma Cr samples, and on reconstructed luma samples, wherein the reconstructed luma samples have at least SAO filtering applied [see, e.g. Fig. 6C and pars. 104 - 107: depicting and describing that filtered chroma Cb and chroma Cr samples are based on SAO filtered reconstructed luma samples]), wherein the chroma samples include a cb sample, to which the deblocking filtering has been applied and a cr sample, to which the deblocking filtering has been applied (e.g. Figs. 6A and 11: depicting that the chroma samples include a cb sample to which deblocking filtering has been applied [DBF Cb] and a Cr sample to which deblocking filtering has been applied [DBF Cr]); wherein the modified chroma samples include a modified Cb sample and a modified Cr sample (e.g. Figs. 6A and 11: depicting that the modified chroma samples include a modified Cb sample and a modified Cr sample). Kuo does not explicitly teach: wherein the modified Cb sample is derived based on applying the SAO filtering to the Cb sample and applying the CC-SAO filtering to the Cb sample based on the Cb sample, the Cr sample, and the luma sample to which SAO filtering has been applied; and wherein the modified Cr sample is derived based on applying the SAO filtering to the Cr sample and applying the CC-SAO filtering to the Cr sample based on the Cr sample, the Cb sample, and the luma sample to which SAO filtering has been applied. Kuo 2, however, teaches an image encoding method and an image decoding method: wherein the modified Cb sample is derived based on applying the SAO filtering to the Cb sample and applying the CC-SAO filtering to the Cb sample based on the Cb sample, the Cr sample, and the luma sample to which SAO filtering has been applied (e.g. Fig. 6B and par. 116: depicting and describing that the modified Cb sample is derived based applying SAO filtering to the Cb sample [SAO Cb] and applying the CC-SAO filtering to the Cb sample based on the Cb sample, the Cr sample and the luma sample, the luma sample having SAO filtering applied [see, e.g. par. 116: describing that CC-SAO filtering depicting in Fig. 6B can be cascaded after SAO filtering of luma samples, one such example being depicted in Fig. 6G]); and wherein the modified Cr sample is derived based on applying the SAO filtering to the Cr sample and applying the CC-SAO filtering to the Cr sample based on the Cr sample, the Cb sample, and the luma sample to which SAO filtering has been applied (e.g. Fig. 6B and par. 116: depicting and describing that the modified Cr sample is derived based applying SAO filtering to the Cr sample [SAO Cr] and applying the CC-SAO filtering to the Cr sample based on the Cr sample, the Cb sample and the luma sample, the luma sample having SAO filtering applied [see, e.g. par. 116: describing that CC-SAO filtering depicting in Fig. 6B can be cascaded after SAO filtering of luma samples, one such example being depicted in Fig. 6G]). It therefore would have been obvious to one of ordinary skill in the art to modify the teachings of Kuo by adding the teachings of Kuo 2 in order for the modified Cb sample is derived based on applying the SAO filtering to the Cb sample and applying the CC-SAO filtering to the Cb sample based on the Cb sample, the Cr sample, and the luma sample and the modified Cr sample is derived based on applying the SAO filtering to the Cr sample and applying the CC-SAO filtering to the Cr sample based on the Cr sample, the Cb sample, and the luma sample. One of ordinary skill in the art would have been motivated to make such a modification because the modification improves coding efficiency by exploring cross-component relationship between the luma component and the chroma component (Kuo 2, e.g. par. 8: describing a desire to improve coding efficiency of both luma and chroma components by exploring cross-component relationship between luma and chroma components). Conclusion Any inquiry concerning this communication or earlier communications from the examiner should be directed to SHANIKA M BRUMFIELD whose telephone number is (571)270-3700. The examiner can normally be reached M-F 8:30 - 5 PM AWS. 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, David Czekaj can be reached at 571-272-7327. 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. SHANIKA M. BRUMFIELD Examiner Art Unit 2487 /SHANIKA M BRUMFIELD/Examiner, Art Unit 2487 /Dave Czekaj/Supervisory Patent Examiner, Art Unit 2487
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Prosecution Timeline

Dec 11, 2023
Application Filed
May 19, 2025
Non-Final Rejection mailed — §103
Aug 19, 2025
Response Filed
Oct 01, 2025
Final Rejection mailed — §103
Jan 01, 2026
Response after Non-Final Action
Feb 02, 2026
Request for Continued Examination
Feb 10, 2026
Response after Non-Final Action
Apr 23, 2026
Non-Final Rejection mailed — §103 (current)

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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
68%
Grant Probability
83%
With Interview (+14.6%)
2y 9m (~3m remaining)
Median Time to Grant
High
PTA Risk
Based on 391 resolved cases by this examiner. Grant probability derived from career allowance rate.

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