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:
Oct. 27, 2020

Filed:

Feb. 28, 2018
Applicant:

Oath Inc., New York, NY (US);

Inventors:

Guy Dassa, New York, NY (US);

Yale Song, New York, NY (US);

Jeffrey Scholz, New York, NY (US);

Joao Vitor Baldini Soares, New York, NY (US);

Minho Lee, New York, NY (US);

Assignee:

OATH INC., New York, NY (US);

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/00 (2006.01); G06T 7/73 (2017.01); G06N 3/08 (2006.01); H04N 21/2187 (2011.01); H04N 21/431 (2011.01); H04L 29/08 (2006.01); H04L 29/06 (2006.01); H04N 21/44 (2011.01); H04N 21/234 (2011.01); G06F 3/0485 (2013.01); H04N 21/4722 (2011.01);
U.S. Cl.
CPC ...
G06T 7/75 (2017.01); G06K 9/00724 (2013.01); G06N 3/08 (2013.01); H04L 65/4076 (2013.01); H04L 65/602 (2013.01); H04L 65/80 (2013.01); H04L 67/02 (2013.01); H04N 21/2187 (2013.01); H04N 21/23418 (2013.01); H04N 21/4316 (2013.01); H04N 21/44008 (2013.01); G06F 3/0485 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20132 (2013.01); G06T 2210/12 (2013.01); G06T 2210/22 (2013.01); H04L 65/1063 (2013.01); H04L 65/4069 (2013.01); H04N 21/4722 (2013.01);
Abstract

Disclosed are systems and methods for improving interactions with and between computers in content searching, hosting and/or providing systems supported by or configured with devices, servers and/or platforms. The disclosed systems and methods provide an image processing framework that sub-divides computer vision techniques into three computationally efficient steps: detection, classification and matching. These steps provide an improved image processing framework that can analyze live stream data of a media file, in real-time, in order to identify and track specific digital objects depicted therein. This enables not only image processing detection results, but also the capabilities of augmenting the video stream with additional data related to the detected object.


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