The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Aug. 06, 2024

Filed:

Jun. 17, 2022
Applicant:

Guangdong Oppo Mobile Telecommunications Corp., Ltd., Guangdong, CN;

Inventors:

Junyan Huo, Guangdong, CN;

Xinwei Li, Guangdong, CN;

Wenhan Qiao, Guangdong, CN;

Yanzhuo Ma, Guangdong, CN;

Shuai Wan, Guangdong, CN;

Fuzheng Yang, Guangdong, CN;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
H04N 19/61 (2014.01); H04N 19/12 (2014.01); H04N 19/129 (2014.01); H04N 19/159 (2014.01); H04N 19/176 (2014.01);
U.S. Cl.
CPC ...
H04N 19/61 (2014.11); H04N 19/12 (2014.11); H04N 19/129 (2014.11); H04N 19/159 (2014.11); H04N 19/176 (2014.11);
Abstract

A transform method applied to an encoder includes: determining a prediction mode parameter of a current block; determining a CCLM parameter when the prediction mode parameter indicates that CCLM is used for the current block to determine an intra prediction value; determining the intra prediction value of the current block according to the CCLM parameter and calculating a residual value between the current block and the intra prediction value; performing a first transform on the residual value to obtain a first coefficient matrix; determining an LFNST coefficient scanning order used for the current block according to the CCLM parameter when an LFNST is used for the current block; constructing an input coefficient matrix of the LFNST by using the first coefficient matrix according to the LFNST coefficient scanning order; and performing an LFNST processing on the input coefficient matrix to obtain a transform coefficient matrix of the current block.


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