US 12,143,632 B2
Context coding for matrix-based intra prediction
Zhipin Deng, Beijing (CN); Kai Zhang, San Diego, CA (US); Li Zhang, San Diego, CA (US); Hongbin Liu, Beijing (CN); and Jizheng Xu, San Diego, CA (US)
Assigned to BEIJING BYTEDANCE NETWORK TECHNOLOGY CO., LTD., Beijing (CN); and BYTEDANCE INC., Los Angeles, CA (US)
Filed by Beijing Bytedance Network Technology Co., Ltd., Beijing (CN); and Bytedance Inc., Los Angeles, CA (US)
Filed on Sep. 12, 2022, as Appl. No. 17/942,552.
Application 17/942,552 is a continuation of application No. 17/479,338, filed on Sep. 20, 2021, granted, now 11,546,633.
Application 17/479,338 is a continuation of application No. PCT/CN2020/088583, filed on May 5, 2020.
Claims priority of application No. PCT/CN2019/085399 (WO), filed on May 1, 2019.
Prior Publication US 2023/0037931 A1, Feb. 9, 2023
This patent is subject to a terminal disclaimer.
Int. Cl. H04N 19/593 (2014.01); H04N 19/70 (2014.01)
CPC H04N 19/593 (2014.11) [H04N 19/70 (2014.11)] 19 Claims
OG exemplary drawing
 
1. A method of processing video data, comprising:
determining, for a conversion between a current video block of a video and a bitstream of the video, whether a matrix intra prediction (MIP) mode is applied on the current video block based on a syntax element, wherein in the MIP mode, prediction samples of the current video block are determined by performing a matrix vector multiplication operation; and
performing the conversion based on the determining,
wherein at least one bin of the syntax element is context coded, and an increasement value of the context is determined based on characteristics of a neighboring block of the current video block,
wherein a boundary down-sampling operation on reference samples of the current video block and an up-sampling operation are included in the MIP mode based on a size of the current video block, and
wherein in the boundary down-sampling operation, reduced boundary samples are directly generated from the reference samples and a downscaling factor without generating intermediate samples.