US 12,323,608 B2
On neural network-based filtering for imaging/video coding
Yue Li, San Diego, CA (US); Li Zhang, San Diego, CA (US); and Kai Zhang, San Diego, CA (US)
Assigned to Lemon Inc, (KY)
Filed by Lemon Inc., Grand Cayman (KY)
Filed on Apr. 5, 2022, as Appl. No. 17/714,027.
Claims priority of provisional application 63/171,743, filed on Apr. 7, 2021.
Prior Publication US 2022/0337853 A1, Oct. 20, 2022
Int. Cl. H04N 19/00 (2014.01); H04N 19/117 (2014.01); H04N 19/124 (2014.01); H04N 19/132 (2014.01); H04N 19/136 (2014.01); H04N 19/146 (2014.01); H04N 19/169 (2014.01); H04N 19/31 (2014.01); H04N 19/436 (2014.01); H04N 19/70 (2014.01); H04N 19/82 (2014.01)
CPC H04N 19/436 (2014.11) [H04N 19/117 (2014.11); H04N 19/124 (2014.11); H04N 19/132 (2014.11); H04N 19/136 (2014.11); H04N 19/146 (2014.11); H04N 19/1883 (2014.11); H04N 19/31 (2014.11); H04N 19/70 (2014.11); H04N 19/82 (2014.11)] 17 Claims
OG exemplary drawing
 
1. A method of processing video data, comprising:
selecting an in-loop filter from a plurality of neural network (NN) filter model candidates, wherein the plurality of NN filter model candidates are based on a reconstructed quality level of a video unit; and
performing a conversion between a video media file comprising the video unit and a bitstream based on the in-loop filter selected,
wherein the method further comprises determining whether a group of NN filter model candidates are the same or different for video units across different temporal layers,
wherein syntax elements corresponding to the in-loop filter selected are coded in the bitstream before syntax elements corresponding to an adaptive loop filter (ALF), and
wherein the method further comprises determining that a same index in a bitstream is associated with different NN filters for two video units.