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:
Jul. 15, 2025

Filed:

Sep. 21, 2022
Applicant:

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

Inventors:

Wei Jiang, Palo Alto, CA (US);

Wei Wang, Palo Alto, CA (US);

Shan Liu, Palo Alto, CA (US);

Assignee:

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

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
H04N 19/42 (2014.01); H04N 19/154 (2014.01); H04N 19/30 (2014.01); H04N 19/463 (2014.01); H04N 19/50 (2014.01);
U.S. Cl.
CPC ...
H04N 19/42 (2014.11); H04N 19/154 (2014.11); H04N 19/30 (2014.11); H04N 19/463 (2014.11); H04N 19/50 (2014.11);
Abstract

Neural image compression using substitutional quality factor learning in a latent space, including receiving a compressed bitstream and a target quality factor indicating a target compression quality, calculating a decoded latent representation of the compressed bitstream, and calculating a reconstructed image based on the decoded latent representation of the compressed bitstream and the target quality factor, computing a shared feature based on a network forward computation using shared decoding parameters (SDP) of one or more layers of a convolutional neural network, computing estimated adaptive decoding parameters (ADP) for the one or more layers of the convolutional neural network based on the shared feature, the adaptive decoding parameters, and the target quality factor, and computing an output tensor based on the estimated ADP in the one or more layers of the convolutional neural network and the shared feature.


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