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:
Nov. 17, 2020

Filed:

Nov. 07, 2019
Applicant:

Theta Lake, Inc., San Mateo, CA (US);

Inventors:

James E. Anderson, Ashburn, VA (US);

Derek Brenner, Santa Barbara, CA (US);

Anthony Cresci, San Francisco, CA (US);

Sharon Hüffner, Berlin, DE;

Rohit Jain, Ventura, CA (US);

Devin H. Redmond, Encinitas, CA (US);

Richard B. Sutton, San Mateo, CA (US);

Assignee:

Theta Lake, Inc., San Mateo, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
H04L 12/18 (2006.01); G10L 17/00 (2013.01); G06K 9/00 (2006.01); H04N 7/15 (2006.01);
U.S. Cl.
CPC ...
H04L 12/1822 (2013.01); G06K 9/00288 (2013.01); G10L 17/005 (2013.01); H04N 7/155 (2013.01);
Abstract

Methods of and systems for identifying a discrete participant among a plurality of participants in an audio/video communication (e.g., video content, digital video content, audio content, and audio-visual content) that include: receiving the audio/video communication; identifying from the audio/video communication content (e.g., using metadata from the broadcast content to identify each participant) multiple identification-related features for each participant; associating a first identification-related feature of a first participant to a second identification-related feature of the first participant; organizing the associated identification-related features of the first participant into a feature class(es); logically relating a first feature class to a second feature class; and attributing a grouping of logically-related feature classes to the discrete participant.


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