US 12,413,721 B2
Content-adaptive online training method and apparatus for post-filtering
Ding Ding, Washington, DC (US); Roman Chernyak, Santa Clara, CA (US); and Shan Liu, San Jose, CA (US)
Assigned to TENCENT AMERICA LLC, Palo Alto, CA (US)
Filed by TENCENT AMERICA LLC, Palo Alto, CA (US)
Filed on May 6, 2024, as Appl. No. 18/656,413.
Application 18/656,413 is a continuation in part of application No. 17/749,641, filed on May 20, 2022, granted, now 11,979,565.
Claims priority of provisional application 63/641,809, filed on May 2, 2024.
Claims priority of provisional application 63/194,057, filed on May 27, 2021.
Prior Publication US 2024/0291980 A1, Aug. 29, 2024
This patent is subject to a terminal disclaimer.
Int. Cl. H04N 7/12 (2006.01); H04N 19/117 (2014.01); H04N 19/136 (2014.01); H04N 19/176 (2014.01); H04N 19/42 (2014.01)
CPC H04N 19/117 (2014.11) [H04N 19/136 (2014.11); H04N 19/176 (2014.11); H04N 19/42 (2014.11)] 20 Claims
OG exemplary drawing
 
1. A method for video decoding in a video decoder, comprising:
receiving one of an image and a video comprising one or more blocks and metadata for a machine task associated with the one of the image and the video, the metadata specifying neural network post-filtering characteristics for machine consumption;
decoding a first post-filtering parameter in the one of the image and the video corresponding to the one or more blocks to be reconstructed, the first post-filtering parameter applying to at least one of the one or more blocks, and the first post-filtering parameter having been updated by a post-filtering module in a post-filtering neural network (NN) that is trained based on a training dataset and the metadata for the machine task associated with the one of the image and the video;
determining the post-filtering NN in the video decoder corresponding to the one or more blocks based on the first post-filtering parameter; and
decoding the one or more blocks based on the determined post-filtering NN corresponding to the one or more blocks and the metadata for the machine task associated with the one of the image and the video.