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:

Jun. 16, 2023
Applicant:

Google Llc, Mountain View, CA (US);

Inventors:

Yilin Wang, Sunnyvale, CA (US);

Miao Yin, Somerset, NJ (US);

Qifei Wang, Sunnyvale, CA (US);

Boqing Gong, Bellevue, WA (US);

Neil Aylon Charles Birkbeck, Cruz, CA (US);

Balineedu Chowdary Adsumilli, Sunnyvale, CA (US);

Assignee:

Google LLC, Mountain View, CA (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
H04N 21/2343 (2011.01); G06T 7/00 (2017.01); H04N 19/132 (2014.01); H04N 21/235 (2011.01); H04N 21/2543 (2011.01); H04N 21/435 (2011.01); H04N 21/4402 (2011.01); H04N 21/466 (2011.01); H04N 21/485 (2011.01);
U.S. Cl.
CPC ...
H04N 21/234363 (2013.01); G06T 7/0002 (2013.01); H04N 19/132 (2014.11); H04N 21/234381 (2013.01); H04N 21/4666 (2013.01); H04N 21/4858 (2013.01);
Abstract

A method for generating, for a video stream of a first spatial resolution and a first temporal resolution, a first reduced quality steam of a second spatial resolution and a second reduced-quality stream of a second temporal resolution. A first subset of STPs is sampled from the first reduced-quality stream and a second subset of STPs is sampled from the second reduced-quality stream. Using a machine learning model (MLM) the STPs are processed to identify a quality score for each quality-representative STPs that are representative of a quality of the video stream. One or more quality-improving actions for the video stream are identified using the quality scores of the quality-representative STPs.


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