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:
Jul. 06, 2021

Filed:

Jul. 05, 2016
Applicant:

Disney Enterprises, Inc., Burbank, CA (US);

Inventors:

Atousa Torabi, Pittsburgh, PA (US);

Leonid Sigal, Pittsburgh, PA (US);

Assignee:

Disney Enterprises, Inc., Burbank, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/00 (2006.01); G06K 9/46 (2006.01); G11B 27/10 (2006.01); H04L 29/06 (2006.01); G06T 7/62 (2017.01); G06T 7/90 (2017.01); G06N 3/04 (2006.01); G06N 3/08 (2006.01);
U.S. Cl.
CPC ...
G06K 9/00751 (2013.01); G06K 9/00335 (2013.01); G06K 9/00671 (2013.01); G06K 9/00718 (2013.01); G06K 9/00744 (2013.01); G06K 9/4628 (2013.01); G06T 7/62 (2017.01); G06T 7/90 (2017.01); G11B 27/102 (2013.01); H04L 65/4069 (2013.01); G06K 2009/00738 (2013.01); G06K 2209/21 (2013.01); G06N 3/0445 (2013.01); G06N 3/0454 (2013.01); G06N 3/084 (2013.01); G06T 2207/10016 (2013.01); G06T 2207/10024 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01);
Abstract

There is provided a system comprising a label database including a plurality of label, a non-transitory memory storing an executable code, and a hardware processor executing the executable code to receive a media content including a plurality of segments, each segment including a plurality of frames, extract a first plurality of features from a segment, extract a second plurality of features from each frame of the segment, determine an attention weight for each frame of the segment based on the first plurality of features extracted from the segment and the second plurality of features extracted from the segment, and determine that the segment depicts one of the plurality of labels in a label database based on the first plurality of features, the second plurality of features, and the attention weight of each frame of the plurality of frames of the segment.


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