US 12,423,878 B2
Content-adaptive online training method and apparatus for deblocking in block-wise image compression
Ding Ding, Palo Alto, CA (US); Wei Jiang, Sunnyvale, CA (US); Wei Wang, San Jose, 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 27, 2022, as Appl. No. 17/826,806.
Claims priority of provisional application 63/211,408, filed on Jun. 16, 2021.
Prior Publication US 2022/0405979 A1, Dec. 22, 2022
Int. Cl. H04N 19/44 (2014.01); G06N 3/08 (2023.01); G06T 9/00 (2006.01); H04N 19/86 (2014.01)
CPC G06T 9/002 (2013.01) [G06N 3/08 (2013.01); H04N 19/44 (2014.11); H04N 19/86 (2014.11)] 20 Claims
OG exemplary drawing
 
1. A method for video decoding in a video decoder, comprising:
reconstructing blocks of an image that is to be reconstructed from a coded video bitstream;
decoding first deblocking information in the coded video bitstream including a first deblocking parameter of a deep neural network (DNN) in the video decoder, wherein the first deblocking parameter of the DNN is an updated parameter that has been previously determined by a content adaptive training process;
determining the DNN in the video decoder for a first boundary region comprising a subset of samples in the reconstructed blocks based on the first deblocking parameter included in the first deblocking information; and
deblocking the first boundary region comprising the subset of samples in the reconstructed blocks based on the determined DNN corresponding to the first deblocking parameter.