Prosecution Insights
Last updated: April 19, 2026
Application No. 16/360,853

VIDEO PREDICTION USING SPATIALLY DISPLACED CONVOLUTION

Non-Final OA §112
Filed
Mar 21, 2019
Examiner
HUBER, JEREMIAH CHARLES
Art Unit
2481
Tech Center
2400 — Computer Networks
Assignee
Nvidia Corporation
OA Round
8 (Non-Final)
69%
Grant Probability
Favorable
8-9
OA Rounds
3y 5m
To Grant
82%
With Interview

Examiner Intelligence

Grants 69% — above average
69%
Career Allow Rate
456 granted / 659 resolved
+11.2% vs TC avg
Moderate +13% lift
Without
With
+13.1%
Interview Lift
resolved cases with interview
Typical timeline
3y 5m
Avg Prosecution
34 currently pending
Career history
693
Total Applications
across all art units

Statute-Specific Performance

§101
8.4%
-31.6% vs TC avg
§103
48.3%
+8.3% vs TC avg
§102
18.7%
-21.3% vs TC avg
§112
11.3%
-28.7% vs TC avg
Black line = Tech Center average estimate • Based on career data from 659 resolved cases

Office Action

§112
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and the fee set forth in 37 CFR 1.17(e) has been timely paid, the finality of the previous Office action has been withdrawn pursuant to 37 CFR 1.114.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 2/23/2026 has been entered. Response to Arguments Applicant’s arguments and amendments, see the response filed 2/23/2026, with respect to the rejection(s) of claim(s) 21-42 under 35 U.S.C. 102 in view of Liu have been fully considered and are persuasive. Therefore, the rejection has been withdrawn. However, upon further consideration, new ground(s) of rejection are made under 35 U.S.C. 112 as detailed below. Claim Rejections - 35 USC § 112 The following is a quotation of the first paragraph of 35 U.S.C. 112(a): (a) IN GENERAL.—The specification shall contain a written description of the invention, and of the manner and process of making and using it, in such full, clear, concise, and exact terms as to enable any person skilled in the art to which it pertains, or with which it is most nearly connected, to make and use the same, and shall set forth the best mode contemplated by the inventor or joint inventor of carrying out the invention. The following is a quotation of the first paragraph of pre-AIA 35 U.S.C. 112: The specification shall contain a written description of the invention, and of the manner and process of making and using it, in such full, clear, concise, and exact terms as to enable any person skilled in the art to which it pertains, or with which it is most nearly connected, to make and use the same, and shall set forth the best mode contemplated by the inventor of carrying out his invention. Claims 21-42 are rejected under 35 U.S.C. 112(a) or 35 U.S.C. 112 (pre-AIA ), first paragraph, as failing to comply with the written description requirement. The claim(s) contains subject matter which was not described in the specification in such a way as to reasonably convey to one skilled in the relevant art that the inventor or a joint inventor, or for applications subject to pre-AIA 35 U.S.C. 112, the inventor(s), at the time the application was filed, had possession of the claimed invention. Independent claims 21, 29 and 37 recite: processing one or more subsets of pixels of the image to be processed using a convolution kernel to compute one or more motion vectors pixel data representing an occlusion object generating one or more other motion vectors based on the motion vectors the one or more other vectors identifying another pixel depicting a portion of the object at a different location in the image, the other pixels used to replace the pixel representing the occluded object modifying a size of the convolution kernel based on the displacements of the one or more other motion vectors The examiner is unable to find support in the applicants specifications for the particular operations recited in the claims. Fig. 2 and pars. 39-46 of the applicants specification describe a video prediction system including a first neural network (210), a second neural network (220), and a spatially displaced convolution (SDC) module (230). Par. 41 indicates that the first neural network (210) receives input frames (202) and outputs one or more initial motion vectors in the form of optical flow information (212). Par. 42 indicates that the second neural network (220) receives the frames (202) and the initial motion vectors and outputs refined motion vectors in the form of predicted displacement vectors and predicted convolution kernel sizes for each pixel of video. The “one or more motion vectors” of element 1 do not correspond to the initial motion vectors of par. 41, as the initial motion vectors are not determined using convolutional kernels. Neither do the “one or more motion vectors” correspond to the refined motion vectors of par. 42 as the refined motion vectors are generated based on the initial motion vectors and the “one or more motion vectors” are not. Thus element 1 lacks written description support in the applicants specification. The ”one or more other motion vectors” of element 2 also do not correspond to the initial motion vectors of par. 41 as the ‘other’ motion vectors must be based on the initial ‘one or more’ vectors from element 1, and the initial, optical flow, vectors of par. 41 are not determined using input motion vectors. Neither do the ‘other’ motion vectors correspond to the refined motion vectors of par. 42 because the refined motion vectors are not used to modify the size of convolution kernels as required by element 3. Rather, par. 41 indicates that the size of the convolutional kernels is determined based on the initial motion vectors provided by the optical flow (212). Thus elements 2 and 3 lack written description support in the applicants specification. The examiner would recommend amending the claim to include, in addition to the limitations relating to correcting object occlusions: a first step of generating one or more motion vectors using a first neural network; a second step of generating, using a second neural network, one or more predicted displacement vectors and predicted convolution kernel sizes based on the one or more motion vectors; and a third step of generating a new image using the displacement vectors and convolution kernels. These steps corresponding to the process shown in Fig. 2 and described in pars 39-46 of the applicants specification. Should the applicant wish to discuss the above proposed changes to the claims, they are invited to schedule an interview with the examiner in order ensure clear communication of the issues and suggestions raised above. Conclusion Any inquiry concerning this communication or earlier communications from the examiner should be directed to JEREMIAH CHARLES HALLENBECK-HUBER whose telephone number is (571)272-5248. The examiner can normally be reached Monday to Friday from 9 A.M. to 5 P.M. 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, William Vaughn can be reached at (571)272-3922. 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. /JEREMIAH C HALLENBECK-HUBER/Primary Examiner, Art Unit 2481
Read full office action

Prosecution Timeline

Mar 21, 2019
Application Filed
Aug 17, 2020
Non-Final Rejection — §112
Nov 23, 2020
Response Filed
Apr 27, 2021
Final Rejection — §112
Sep 08, 2021
Applicant Interview (Telephonic)
Sep 09, 2021
Examiner Interview Summary
Sep 23, 2021
Request for Continued Examination
Sep 26, 2021
Response after Non-Final Action
Dec 15, 2021
Non-Final Rejection — §112
May 18, 2022
Applicant Interview (Telephonic)
May 19, 2022
Response Filed
May 19, 2022
Examiner Interview Summary
Jun 14, 2022
Final Rejection — §112
Dec 19, 2022
Request for Continued Examination
Dec 21, 2022
Response after Non-Final Action
Feb 24, 2023
Non-Final Rejection — §112
Aug 02, 2023
Interview Requested
Aug 18, 2023
Examiner Interview (Telephonic)
Aug 18, 2023
Examiner Interview Summary
Sep 05, 2023
Notice of Allowance
Nov 01, 2023
Response after Non-Final Action
Nov 13, 2023
Response after Non-Final Action
Jan 13, 2024
Response after Non-Final Action
Feb 20, 2024
Response after Non-Final Action
Feb 21, 2024
Response after Non-Final Action
Feb 22, 2024
Response after Non-Final Action
Feb 22, 2024
Response after Non-Final Action
Dec 23, 2024
Response after Non-Final Action
Feb 27, 2025
Request for Continued Examination
Mar 03, 2025
Response after Non-Final Action
Mar 14, 2025
Non-Final Rejection — §112
Jul 21, 2025
Response Filed
Oct 18, 2025
Final Rejection — §112
Jan 20, 2026
Interview Requested
Jan 26, 2026
Applicant Interview (Telephonic)
Feb 07, 2026
Examiner Interview Summary
Feb 23, 2026
Request for Continued Examination
Mar 08, 2026
Response after Non-Final Action
Mar 21, 2026
Non-Final Rejection — §112 (current)

Precedent Cases

Applications granted by this same examiner with similar technology

Patent 12604012
CODING METHOD, ENCODER, AND DECODER
2y 5m to grant Granted Apr 14, 2026
Patent 12604026
MOVING PICTURE CODING METHOD, MOVING PICTURE DECODING METHOD, MOVING PICTURE CODING APPARATUS, MOVING PICTURE DECODING APPARATUS, AND MOVING PICTURE CODING AND DECODING APPARATUS
2y 5m to grant Granted Apr 14, 2026
Patent 12593043
VIDEO COMPRESSION AT SCENE CHANGES FOR LOW LATENCY INTERACTIVE EXPERIENCE
2y 5m to grant Granted Mar 31, 2026
Patent 12593046
SUB-BLOCK DIVISION-BASED IMAGE ENCODING/DECODING METHOD AND DEVICE
2y 5m to grant Granted Mar 31, 2026
Patent 12587670
VIDEO CODING AND DECODING
2y 5m to grant Granted Mar 24, 2026
Study what changed to get past this examiner. Based on 5 most recent grants.

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Prosecution Projections

8-9
Expected OA Rounds
69%
Grant Probability
82%
With Interview (+13.1%)
3y 5m
Median Time to Grant
High
PTA Risk
Based on 659 resolved cases by this examiner. Grant probability derived from career allow rate.

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