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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.

Patent No.:

US 10902262 B1

PDFFull Text
Date of Patent:
Jan. 26, 2021

Filed:

Jan. 19, 2018

Vision intelligence management for electronic devices

Applicant:

Samsung Electronics Co., Ltd., Suwon-si, KR;

Inventors:

Stanislaw Antol, Cupertino, CA (US);

Abhijit Bendale, Sunnyvale, CA (US);

Simon J. Gibbs, San Jose, CA (US);

Won J. Jeon, San Jose, CA (US);

Hyun Jae Kang, Santa Clara, CA (US);

Jihee Kim, Mountain View, CA (US);

Bo Li, San Jose, CA (US);

Anthony S. Liot, Cupertino, CA (US);

Lu Luo, Mountain View, CA (US);

Pranav K. Mistry, Saratoga, CA (US);

Zhihan Ying, Sunnyvale, CA (US);

Assignee:

Samsung Electronics Co., Ltd., Suwon-si, KR;

Attorneys:

Sherman IP LLP

Kenneth L. Sherman

Hemavathy Perumal

Primary Examiner:

Chan S Park

Assistant Examiner:

Elisa M Rice

Int. Cl.
CPC ...
G06K 9/00 (2006.01); H04L 29/08 (2006.01); G06T 19/00 (2011.01); G06N 20/00 (2019.01); G06N 3/08 (2006.01); G06K 9/62 (2006.01); G06F 11/30 (2006.01); H04L 29/06 (2006.01); G06F 11/34 (2006.01); G06N 5/02 (2006.01); G06T 11/00 (2006.01); G06K 9/32 (2006.01); G06K 9/66 (2006.01); G06F 3/14 (2006.01);
U.S. Cl.
CPC ...
G06K 9/00671 (2013.01); G06F 11/3055 (2013.01); G06F 11/3433 (2013.01); G06F 11/3438 (2013.01); G06K 9/00221 (2013.01); G06K 9/3241 (2013.01); G06K 9/6256 (2013.01); G06K 9/6262 (2013.01); G06K 9/6282 (2013.01); G06K 9/66 (2013.01); G06N 3/08 (2013.01); G06N 5/025 (2013.01); G06N 20/00 (2019.01); G06T 11/00 (2013.01); G06T 19/006 (2013.01); H04L 67/22 (2013.01); H04L 67/38 (2013.01); G06F 3/14 (2013.01); G06K 9/6292 (2013.01);
Abstract

One embodiment provides a method comprising classifying one or more objects present in an input comprising visual data by executing a first set of models associated with a domain on the input. Each model corresponds to an object category. Each model is trained to generate a visual classifier result relating to a corresponding object category in the input with an associated confidence value indicative of accuracy of the visual classifier result. The method further comprises aggregating a first set of visual classifier results based on confidence value associated with each visual classifier result of each model of the first set of models. At least one other model is selectable for execution on the input based on the aggregated first set of visual classifier results for additional classification of the objects. One or more visual classifier results are returned to an application running on an electronic device for display.

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