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. 21, 2026

Filed:

Jan. 23, 2024
Applicant:

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

Inventors:

Wei Jiang, Sunnyvale, CA (US);

Wei Wang, Sunnyvale, CA (US);

Sheng Lin, San Jose, CA (US);

Shan Liu, San Jose, CA (US);

Assignee:

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

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
H01L 29/94 (2006.01); G06N 3/045 (2023.01); G06N 3/08 (2023.01); H04N 19/124 (2014.01); H04N 19/91 (2014.01);
U.S. Cl.
CPC ...
H04N 19/124 (2014.11); G06N 3/045 (2023.01); G06N 3/08 (2013.01); H04N 19/91 (2014.11);
Abstract

End-to-end neural image compression using deep reinforcement learning (DRL) is performed by at least one processor and includes encoding an input, generating encoded representations of the input, generating a set of quantization keys using a first neural network, based on a set of previous quantization states, wherein each quantization key in the set of quantization keys and each previous quantization state in the set of previous quantization states correspond to the encoded representations of the input, generating a set of dequantized numbers representing dequantized representations of the encoded representations of the input, based on the set of quantization keys, using a second neural network, and generating a reconstructed output, based on the set of dequantized numbers.


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