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:
Jun. 14, 2022

Filed:

Mar. 13, 2019
Applicant:

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

Inventors:

Christos Bampis, Los Gatos, CA (US);

Zhi Li, Mountain View, CA (US);

Lavanya Sharan, Menlo Park, CA (US);

Julie Novak, San Jose, CA (US);

Martin Tingley, Los Gatos, CA (US);

Assignee:

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

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
H04N 19/154 (2014.01); G06T 7/00 (2017.01); G06K 9/62 (2022.01); G06N 20/20 (2019.01); H04N 21/25 (2011.01); H04N 19/147 (2014.01); H04N 17/00 (2006.01);
U.S. Cl.
CPC ...
G06T 7/0002 (2013.01); G06K 9/6256 (2013.01); G06N 20/20 (2019.01); H04N 19/154 (2014.11); H04N 21/252 (2013.01); G06T 2207/10016 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/30168 (2013.01); H04N 17/004 (2013.01); H04N 19/147 (2014.11);
Abstract

In various embodiments, an encoding metric comparison application computes a first set of quality scores associated with a test encoding configuration based on a set of bootstrap quality models. Each bootstrap quality model is trained based on a different subset of a training database. The encoding metric comparison application computes a second set of quality scores associated with a reference encoding configuration based on the set of bootstrap quality models. Subsequently, the encoding metric comparison application generates a distribution of bootstrap values for an encoding comparison metric based on the first set of quality scores and the second set of quality scores. The distribution quantifies an accuracy of a baseline value for the encoding comparison metric generated by a baseline quality model.


Find Patent Forward Citations

Bampis, Christos. (2022). Quantifying encoding comparison metric uncertainty via bootstrapping (U.S. Patent No. 11361416). U.S. Patent and Trademark Office. https://idiyas.com/patent/badge/11361416

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

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