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. 18, 2017

Filed:

Oct. 14, 2015
Applicant:

Google Inc., Mountain View, CA (US);

Inventors:

Balakrishnan Varadarajan, Sunnyvale, CA (US);

Sanketh Shetty, Sunnyvale, CA (US);

Apostol Natsev, Sunnyvale, CA (US);

Nitin Khandelwal, Mitpitas, CA (US);

Weilong Yang, Fremont, CA (US);

Sudheendra Vijayanarasimhan, Mountain View, CA (US);

WeiHsin Gu, Redwood City, CA (US);

Nicola Muscettola, Sunnyvale, CA (US);

Assignee:

Google Inc., Mountain View, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
H04N 9/80 (2006.01); H04N 5/77 (2006.01); G11B 27/10 (2006.01); G06K 9/00 (2006.01); G06K 9/46 (2006.01); G06F 17/30 (2006.01); G06F 17/24 (2006.01); H04N 21/2743 (2011.01); H04N 21/234 (2011.01); H04N 21/235 (2011.01);
U.S. Cl.
CPC ...
G11B 27/10 (2013.01); G06F 17/241 (2013.01); G06F 17/3082 (2013.01); G06F 17/30799 (2013.01); G06K 9/00744 (2013.01); G06K 9/4642 (2013.01); H04N 21/2353 (2013.01); H04N 21/23418 (2013.01); H04N 21/2743 (2013.01);
Abstract

A system and methodology provide for annotating videos with entities and associated probabilities of existence of the entities within video frames. A computer-implemented method selects an entity from a plurality of entities identifying characteristics of a video item, where the video item has associated metadata. The computer-implemented method receives probabilities of existence of the entity in video frames of the video item, and selects a video frame determined to comprise the entity responsive to determining the video frame having a probability of existence of the entity greater than zero. The computer-implemented method determines a scaling factor for the probability of existence of the entity using the metadata of the video item, and determines an adjusted probability of existence of the entity by using the scaling factor to adjust the probability of existence of the entity. The computer-implemented method labels the video frame with the adjusted probability of existence.


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