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:
Aug. 25, 2020

Filed:

May. 19, 2017
Applicant:

Second Spectrum, Inc., Los Angeles, CA (US);

Inventors:

Yu-Han Chang, South Pasadena, CA (US);

Rajiv Maheswaran, Los Angeles, CA (US);

Jeffrey Wayne Su, South Pasadena, CA (US);

Noel Hollingsworth, Sunnyvale, CA (US);

Assignee:

Second Spectrum, Inc., Los Angeles, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/00 (2006.01); H04N 21/466 (2011.01); H04N 21/44 (2011.01); H04N 21/434 (2011.01); H04N 21/234 (2011.01); H04N 21/25 (2011.01); H04N 21/4223 (2011.01); H04N 21/45 (2011.01); G06N 20/00 (2019.01); H04N 5/222 (2006.01); A63F 13/60 (2014.01); H04N 13/204 (2018.01); G11B 27/031 (2006.01); G11B 27/28 (2006.01); H04N 21/2187 (2011.01); H04N 21/8549 (2011.01); G06F 3/01 (2006.01); H04N 13/243 (2018.01); H04N 13/117 (2018.01);
U.S. Cl.
CPC ...
G06K 9/00724 (2013.01); A63F 13/60 (2014.09); G06F 3/012 (2013.01); G06F 3/013 (2013.01); G06K 9/00744 (2013.01); G06N 20/00 (2019.01); G11B 27/031 (2013.01); G11B 27/28 (2013.01); H04N 5/2224 (2013.01); H04N 13/204 (2018.05); H04N 21/2187 (2013.01); H04N 21/23418 (2013.01); H04N 21/251 (2013.01); H04N 21/4223 (2013.01); H04N 21/4345 (2013.01); H04N 21/44008 (2013.01); H04N 21/4532 (2013.01); H04N 21/4662 (2013.01); H04N 21/8549 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/30221 (2013.01); H04N 13/117 (2018.05); H04N 13/243 (2018.05);
Abstract

Interacting with a broadcast video content stream is performed with a machine learning facility that processes a video feed of a video broadcast through a spatiotemporal pattern recognition algorithm that applies machine learning on at least one event in the video feed in order to develop an understanding of the at least one event. Developing the understanding includes identifying context information relating to the at least one event and identifying an entry in a relationship library detailing a relationship between two visible features of the video feed. Interacting is further enabled with a touch screen user interface configured to permit at least one broadcaster to control a portion of the content of the video feed through interaction options that are based on the identified context information. Interacting is further enhanced through an interface configured to permit remote viewers to control the portion of the content.


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