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:
Feb. 23, 2021

Filed:

Jan. 04, 2018
Applicant:

Sony Interactive Entertainment Llc, San Mateo, CA (US);

Inventor:

Bhumik Sanghavi, Emeryville, CA (US);

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
H04N 21/258 (2011.01); H04N 21/472 (2011.01); H04N 21/431 (2011.01); H04N 21/845 (2011.01); H04N 21/466 (2011.01); H04N 21/6587 (2011.01); H04N 21/454 (2011.01); H04N 21/442 (2011.01); H04N 21/437 (2011.01); H04N 21/25 (2011.01); H04N 21/8547 (2011.01);
U.S. Cl.
CPC ...
H04N 21/258 (2013.01); H04N 21/251 (2013.01); H04N 21/437 (2013.01); H04N 21/4312 (2013.01); H04N 21/44222 (2013.01); H04N 21/454 (2013.01); H04N 21/466 (2013.01); H04N 21/47202 (2013.01); H04N 21/47217 (2013.01); H04N 21/6587 (2013.01); H04N 21/845 (2013.01); H04N 21/8547 (2013.01);
Abstract

The disclosure provides methods and systems for skipping unwanted portions of media content based on a crowdsourcing feedback model. The media content may include television programming content, video content, and audio content. The unwanted portions of media content include, for example, television commercials, opening and closing credits. An exemplary crowdsourcing feedback model involves receiving and processing a plurality of user seek information records. These records include time markers of the media content indicating when the users started and stopped fast forwarding or when the users started and stopped moving a scrub bar to jump from one portion of the content to another. When collected, the user seek information records are used to train a machine-learning system to calculate start and stop times of unwanted portions of media content. Once the start and stop times are calculated, user devices are enabled to automatically skip these unwanted portions.


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