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:
Sep. 22, 2026

Filed:

May. 20, 2024
Applicant:

Tencent America Llc, Palo Alto, CA (US);

Inventors:

Madhu Peringassery Krishnan, Mountain View, CA (US);

Xin Zhao, San Jose, CA (US);

Shan Liu, San Jose, CA (US);

Assignee:

Tencent America LLC, Palo Alto, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
H04N 19/13 (2014.01); H04N 19/159 (2014.01); H04N 19/176 (2014.01); H04N 19/18 (2014.01); H04N 19/91 (2014.01);
U.S. Cl.
CPC ...
H04N 19/13 (2014.11); H04N 19/159 (2014.11); H04N 19/176 (2014.11); H04N 19/18 (2014.11); H04N 19/91 (2014.11);
Abstract

This disclosure relates to secondary transform of video blocks with adaptive kernel options. For example, a method for decoding a video block in a video stream is disclosed. The method may include comprising parsing and processing the video stream to generate: a set of secondary transform coefficients associated with the video block; an intra prediction mode associated with the video block; and a kernel index indicating a secondary transform kernel among a group of secondary transform kernels. The method may further include identifying the group of secondary transform kernels based on the intra prediction mode; and performing an inverse secondary transform of the set of secondary transform coefficients to generate primary transform coefficients of the video block based on the secondary transform kernel among the group of secondary transform kernels identified by the kernel index. The quantity of kernels in the group of secondary transform kernels depends on at least one of: the intra prediction mode associated with the video block; a size of the video block; or a primary transform type associated with the video block.


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