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. 16, 2021

Filed:

May. 10, 2019
Applicant:

International Business Machines Corporation, Armonk, NY (US);

Inventors:

Ying-Chen Yu, Taipei, TW;

Chih-Wen Su, Shihlin, TW;

Jeff Hsueh-Chang Kuo, Taipei, TW;

June-Ray Lin, Taipei, TW;

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/00 (2006.01); G06K 9/62 (2006.01); G06T 7/00 (2017.01);
U.S. Cl.
CPC ...
G06K 9/00718 (2013.01); G06K 9/00744 (2013.01); G06K 9/00765 (2013.01); G06K 9/6257 (2013.01); G06K 9/6262 (2013.01); G06T 7/0002 (2013.01); G06T 2207/10016 (2013.01); G06T 2207/20072 (2013.01); G06T 2207/20081 (2013.01);
Abstract

Methods, systems and computer program products for flagging abnormal videos are provided. Aspects include training an image recognition model based on a plurality of images that depict one or more of a plurality of subjects. Aspects also include generating a normal subject relationship graph representing normal relationships between the plurality of subjects by applying the image recognition model to a plurality of training videos and a test subject relationship graph representing test relationships between subjects depicted in a test video by applying the image recognition model to the test video. Each normal relationship is associated with a strength value. Responsive to determining that a difference between a strength value associated with a first normal relationship and a strength value associated with a corresponding first test relationship exceeds a predetermined threshold, aspects include flagging the test video as being abnormal.


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