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. 15, 2022
Applicants:

Kwai Inc., Palo Alto, CA (US);

Santa Clara University, Santa Clara, CA (US);

Inventors:

Yifei Pei, Santa Clara, CA (US);

Ying Liu, Santa Clara, CA (US);

Nam Ling, Santa Clara, CA (US);

Lingzhi Liu, San Jose, CA (US);

Yongxiong Ren, San Jose, CA (US);

Ming Kai Hsu, Fremont, CA (US);

Assignees:

KWAI INC., Palo Alto, CA (US);

SANTA CLARA UNIVERSITY, Santa Clara, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/00 (2022.01); G06T 9/00 (2006.01); H04N 19/176 (2014.01); H04N 19/625 (2014.01);
U.S. Cl.
CPC ...
G06T 9/002 (2013.01); H04N 19/176 (2014.11); H04N 19/625 (2014.11);
Abstract

A class-specific neural network for video compressed sensing and methods for training and testing the class-specific neural network are provided. The class-specific neural network includes a Gaussian-mixture model (GMM) and a plurality of encoders, where the GMM classifies video frame blocks with a plurality of clusters and assigns the video frame blocks to the plurality of clusters. Further, the plurality of encoders receive the video frame blocks and generate a plurality of compressed-sensed frame block vectors, where the plurality of encoders correspond to the plurality of clusters.


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