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:
Mar. 30, 2021

Filed:

Jul. 16, 2019
Applicant:

Accenture Global Solutions Limited, Dublin, IE;

Inventors:

Neeru Narang, San Jose, CA (US);

Guanglei Xiong, Pleasanton, CA (US);

Colin Connors, Campbell, CA (US);

Sukryool Kang, Sunnyvale, CA (US);

Chung-Sheng Li, San Jose, CA (US);

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/00 (2006.01); G06T 7/73 (2017.01); G06T 7/11 (2017.01); G06T 7/246 (2017.01); G06K 9/62 (2006.01); G06T 11/20 (2006.01);
U.S. Cl.
CPC ...
G06K 9/00744 (2013.01); G06K 9/00228 (2013.01); G06K 9/00288 (2013.01); G06K 9/6267 (2013.01); G06T 7/11 (2017.01); G06T 7/246 (2017.01); G06T 7/74 (2017.01); G06T 11/20 (2013.01); G06T 2207/10016 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/30196 (2013.01); G06T 2210/12 (2013.01);
Abstract

Examples of a character recognition system are provided. In an example, the system may receive an object detection requirement pertaining to a video clip. The system may identify a visual media feature map from visual media data to process the object detection requirement. The system may implement an artificial intelligence component to segment the visual media feature map into a plurality of regions, and identify a plurality of image proposals therein. The system may implement a first cognitive learning operation to allocate a human face identity for a human face and an object name for an object present in the video clip. The system may determine a face identity model for the human face present in the plurality of image proposals and generate a tagged face identity model. The system may implement a second cognitive learning operation to assemble the plurality of frames with an appurtenant tagged face identity model.


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