US 11,968,368 B2
Cross-component prediction with multiple-parameter model
Hongbin Liu, Beijing (CN); Li Zhang, San Diego, CA (US); Kai Zhang, San Diego, CA (US); Jizheng Xu, San Diego, CA (US); Yuwen He, San Diego, CA (US); and Yue Wang, Beijing (CN)
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 Jun. 24, 2022, as Appl. No. 17/848,535.
Application 17/848,535 is a continuation of application No. PCT/CN2020/142127, filed on Dec. 31, 2020.
Claims priority of application No. PCT/CN2019/130430 (WO), filed on Dec. 31, 2019.
Prior Publication US 2022/0329816 A1, Oct. 13, 2022
Int. Cl. H04N 19/132 (2014.01); H04N 19/105 (2014.01); H04N 19/176 (2014.01); H04N 19/186 (2014.01)
CPC H04N 19/132 (2014.11) [H04N 19/105 (2014.11); H04N 19/176 (2014.11); H04N 19/186 (2014.11)] 20 Claims
OG exemplary drawing
 
1. A method of processing video data, comprising:
performing a conversion between a current video block of a second color component of a video and a bitstream of the video using a cross-component prediction with multiple-parameter model (CCPMPM) in which samples of the current video block are predictively coded in the bitstream using a linear combination of samples of a first color component multiplied by linear coefficients and/or one or more offsets;
wherein the bitstream conforms to a format rule; and
wherein the linear coefficients of the CCPMPM are determined using a first rule; and
wherein the samples of the first color component are determined using a second rule.