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:
Apr. 14, 2026

Filed:

Aug. 30, 2023
Applicant:

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

Inventors:

Yang Sui, Piscataway, NJ (US);

Ding Ding, Palo Alto, CA (US);

Xiaozhong Xu, Palo Alto, CA (US);

Shan Liu, Palo Alto, CA (US);

Assignee:

TENCENT AMERICA LLC, Palo Alto, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06T 9/00 (2006.01); G06T 7/13 (2017.01); G06V 10/44 (2022.01);
U.S. Cl.
CPC ...
G06T 9/00 (2013.01); G06T 7/13 (2017.01); G06V 10/44 (2022.01); G06T 2207/20164 (2013.01);
Abstract

Methods and apparatuses for decoding a compressed image using a neural image compression network are provided. The method may include generating context parameters associated with a compressed image, the context parameters corresponding to a first area. The method may also include determining that a long range global dependency exists between a first latent and a second latent in a long-range global area within the compressed image and predicting a plurality of context features using a transformer-based long-range context prediction model. The method may then include reconstructing the compressed image based on the predicted plurality of context features.


Find Patent Forward Citations

Sui, Yang. (2026). Long-range context model in neural image compression (U.S. Patent No. 12602834). U.S. Patent and Trademark Office. https://idiyas.com/patent/badge/12602834

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

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