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:
Aug. 19, 2025

Filed:

Mar. 13, 2023
Applicant:

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

Inventors:

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 ...
H04N 19/42 (2014.01); G06V 10/778 (2022.01); G06V 10/82 (2022.01); H04N 19/147 (2014.01);
U.S. Cl.
CPC ...
H04N 19/42 (2014.11); G06V 10/778 (2022.01); G06V 10/82 (2022.01); H04N 19/147 (2014.11);
Abstract

Neural network based image compression using an optimized end-to-end (E2E) neural image compression (NIC) framework being performed by at least one processor and includes receiving an input image to an E2E NIC framework, processing the input image in its entirety using an encoder in the E2E NIC framework to obtain a first bitstream representation of the input image in its entirety, reconstructing an output image from the first bitstream representation of the input image in its entirety using a decoder in the E2E NIC framework, optimizing the encoder in the E2E NIC framework by reducing a distortion loss between the input image and the output image, and processing the input image using the optimized encoder in the E2E NIC framework to obtain a second bitstream representation of the input image. Further, the input may be partitioned into blocks for which encoder optimization is performed for each block and each block is encoded instead of the entire image.


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