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:
May. 12, 2026

Filed:

Jul. 03, 2023
Applicant:

Alibaba (China) Co., Ltd., Hangzhou, CN;

Inventors:

Yan Ye, San Diego, CA (US);

Wei Jiang, Sunnyvale, CA (US);

Wei Wang, Sunnyvale, CA (US);

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
H04N 19/115 (2014.01); H04N 19/105 (2014.01); H04N 19/176 (2014.01); H04N 19/46 (2014.01);
U.S. Cl.
CPC ...
H04N 19/115 (2014.11); H04N 19/105 (2014.11); H04N 19/176 (2014.11); H04N 19/46 (2014.11);
Abstract

A system may receive an input image block, and input the input image block into multiple models which may be trained using a plurality of different datasets of image blocks. Each model of the multiple models may be trained using a dataset having similar attributes. The system may determine a model having a highest compression efficiency from among the multiple models, and encode the input image block using the determined model.


Find Patent Forward Citations

Quick Actions:

Ye, Yan. (2026). Content aware dataset generation and model selection for learned image compression (U.S. Patent No. 12627794). U.S. Patent and Trademark Office. https://idiyas.com/patent/badge/12627794

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