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. 26, 2021

Filed:

Jul. 15, 2019
Applicant:

Disney Enterprises, Inc., Burbank, CA (US);

Inventors:

Miquel Angel Farre Guiu, Bern, CH;

Matthew C. Petrillo, Sandy Hook, CT (US);

Marc Junyent Martin, Barcelona, ES;

Anthony M. Accardo, Los Angeles, CA (US);

Avner Swerdlow, Los Angeles, CA (US);

Monica Alfaro Vendrell, Barcelona, ES;

Assignee:

Disney Enterprises, Inc., Burbank, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/62 (2006.01); G06K 9/00 (2006.01);
U.S. Cl.
CPC ...
G06K 9/6267 (2013.01); G06K 9/00369 (2013.01); G06K 9/00744 (2013.01); G06K 9/6262 (2013.01);
Abstract

According to one implementation, a quality control (QC) system for annotated content includes a computing platform having a hardware processor and a system memory storing an annotation culling software code. The hardware processor executes the annotation culling software code to receive multiple content sets annotated by an automated content classification engine, and obtain evaluations of the annotations applied by the automated content classification engine to the content sets. The hardware processor further executes the annotation culling software code to identify a sample size of the content sets for automated QC analysis of the annotations applied by the automated content classification engine, and cull the annotations applied by the automated content classification engine based on the evaluations when the number of annotated content sets equals the identified sample size.


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