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:
Jan. 20, 2026

Filed:

Jan. 29, 2024
Applicant:

Beijing Dajia Internet Information Technology Co., Ltd., Beijing, CN;

Inventors:

Wei Chen, San Diego, CA (US);

Xiaoyu Xiu, San Diego, CA (US);

Yi-Wen Chen, San Diego, CA (US);

Hong-Jheng Jhu, San Diego, CA (US);

Che-Wei Kuo, San Diego, CA (US);

Xianglin Wang, San Diego, CA (US);

Bing Yu, Beijing, CN;

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
H04N 19/436 (2014.01); G06N 3/0895 (2023.01); H04N 19/124 (2014.01); H04N 19/136 (2014.01); H04N 19/463 (2014.01); H04N 19/176 (2014.01);
U.S. Cl.
CPC ...
H04N 19/436 (2014.11); G06N 3/0895 (2023.01); H04N 19/124 (2014.11); H04N 19/136 (2014.11); H04N 19/463 (2014.11); H04N 19/176 (2014.11);
Abstract

A method and an apparatus for hybrid training of neural networks for video coding are provided. The method includes: obtaining, in an offline training stage, an offline trained network by training a neural network offline; and refining, in an online training stage, a plurality of neural network layers with constraint on a plurality of parameters of the plurality of neural network layers, where the plurality of neural network layers may include at least one neural network layer in the offline trained network or in a simple neural network connected to the offline trained network.


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