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. 16, 2021

Filed:

Feb. 22, 2019
Applicant:

Veritone, Inc., Costa Mesa, CA (US);

Inventors:

Chad Steelberg, Newport Beach, CA (US);

Peter Nguyen, Costa Mesa, CA (US);

David Kettler, Bellevue, WA (US);

Karl Schwamb, Mission Viejo, CA (US);

Yu Zhao, Irvine, CA (US);

Assignee:

VERITONE, INC., Costa Mesa, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G10L 15/32 (2013.01); G10L 15/30 (2013.01); G10L 15/16 (2006.01); G10L 15/18 (2013.01); G06F 40/20 (2020.01); G06F 40/30 (2020.01); G06F 40/253 (2020.01); G06F 40/284 (2020.01); G06N 3/08 (2006.01); G10L 15/02 (2006.01); G06N 3/04 (2006.01); G06N 20/00 (2019.01); G06N 5/00 (2006.01);
U.S. Cl.
CPC ...
G10L 15/32 (2013.01); G06F 40/20 (2020.01); G06F 40/253 (2020.01); G06F 40/284 (2020.01); G06F 40/30 (2020.01); G06N 3/0454 (2013.01); G06N 3/08 (2013.01); G06N 5/003 (2013.01); G06N 20/00 (2019.01); G10L 15/02 (2013.01); G10L 15/16 (2013.01); G10L 15/1815 (2013.01); G10L 15/30 (2013.01);
Abstract

Methods and systems for classifying a multimedia file using interclass data is disclosed. One of the methods includes receiving, from a first transcription engine, one or more transcription results of one or more audio segments of the multimedia file; identifying a first transcription result for a first audio segment having a low confidence of accuracy; identifying a first image data of the multimedia file corresponding to the first segment; receiving, from an image classification engine trained to classify image data, an image classification result of one or more portions of the first image data in response to requesting the image classification engine to classify the first image data; and selecting, based at least on the image classification result of the one or more portions of the first image data, a second transcription engine to re-classify the first audio segment.


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