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:
Apr. 21, 2020

Filed:

Nov. 15, 2017
Applicant:

Google Llc, Mountain View, CA (US);

Inventors:

Hang Chu, Toronto, CA;

Michael Nechyba, Pittsburgh, PA (US);

Andrew C. Gallagher, Mountain View, CA (US);

Utsav Prabhu, Pittsburgh, PA (US);

Assignee:

Google LLC, Mountain View, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 16/71 (2019.01); G06N 3/08 (2006.01); G06F 16/783 (2019.01); G06F 16/78 (2019.01); G06N 3/04 (2006.01); G06K 9/00 (2006.01); G06K 9/62 (2006.01); G11B 27/02 (2006.01); H04N 19/142 (2014.01); H04N 21/44 (2011.01);
U.S. Cl.
CPC ...
G06F 16/71 (2019.01); G06F 16/785 (2019.01); G06F 16/7834 (2019.01); G06F 16/7837 (2019.01); G06K 9/00765 (2013.01); G06K 9/6274 (2013.01); G06N 3/0445 (2013.01); G06N 3/0454 (2013.01); G06N 3/084 (2013.01); G11B 27/02 (2013.01); H04N 19/142 (2014.11); H04N 21/44 (2013.01);
Abstract

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for partitioning videos. In one aspect, a method includes obtaining a partition of a video into one or more shots. Features are generated for each shot, including visual features and audio features. The generated features for each shot are provided as input to a partitioning neural network that is configured to process the generated features to generate a partitioning neural network output. The partition of the video into one or more chapters is determined based on the partitioning neural network output, where a chapter is a sequence of consecutive shots that are determined to be taken at one or more locations that are semantically related.


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