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:
Oct. 06, 2020

Filed:

Oct. 12, 2017
Applicant:

Netflix, Inc., Los Gatos, CA (US);

Inventors:

Zhi Li, Mountain View, CA (US);

Anne Aaron, Menlo Park, CA (US);

Anush Moorthy, Redwood City, CA (US);

Christos Bampis, Austin, TX (US);

Assignee:

NETFLIX, INC., Los Gatos, CA (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
H04N 19/154 (2014.01); H04N 19/59 (2014.01); H04N 21/647 (2011.01); H04N 19/146 (2014.01); H04N 21/234 (2011.01); H04N 21/2343 (2011.01); H04N 17/00 (2006.01); H04N 19/00 (2014.01); H04N 19/593 (2014.01);
U.S. Cl.
CPC ...
H04N 19/154 (2014.11); H04N 17/004 (2013.01); H04N 19/00 (2013.01); H04N 19/146 (2014.11); H04N 19/59 (2014.11); H04N 19/593 (2014.11); H04N 21/23418 (2013.01); H04N 21/23439 (2013.01); H04N 21/647 (2013.01);
Abstract

In various embodiments, a perceptual quality application computes an absolute quality score for encoded video content. In operation, the perceptual quality application selects a model based on the spatial resolution of the video content from which the encoded video content is derived. The model associates a set of objective values for a set of objective quality metrics with an absolute quality score. The perceptual quality application determines a set of target objective values for the objective quality metrics based on the encoded video content. Subsequently, the perceptual quality application computes the absolute quality score for the encoded video content based on the selected model and the set of target objective values. Because the absolute quality score is independent of the quality of the video content, the absolute quality score accurately reflects the perceived quality of a wide range of encoded video content when decoded and viewed.


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