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:
Jan. 12, 2021

Filed:

Jul. 11, 2019
Applicant:

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

Inventors:

Miquel Angel Farre Guiu, Bern, CH;

Monica Alfaro Vendrell, Barcelona, ES;

Albert Aparicio Isarn, Barcelona, ES;

Daniel Fojo, Barcelona, ES;

Marc Junyent Martin, Barcelona, ES;

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

Avner Swerdlow, Los Angeles, CA (US);

Assignee:

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

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
H04N 9/80 (2006.01); G11B 27/00 (2006.01); G11B 27/34 (2006.01); G06K 9/00 (2006.01); G06N 3/08 (2006.01); G06N 3/04 (2006.01); G11B 27/19 (2006.01); H04N 5/93 (2006.01); H04N 5/78 (2006.01); H04N 5/92 (2006.01);
U.S. Cl.
CPC ...
G11B 27/34 (2013.01); G06K 9/00744 (2013.01); G06N 3/04 (2013.01); G06N 3/08 (2013.01); G11B 27/19 (2013.01);
Abstract

A content annotation system includes a computing platform having a hardware processor and a memory storing a tagging software code including an artificial neural network (ANN). The hardware processor executes the tagging software code to receive content having a content interval including an image of a generic content feature, encode the image into a latent vector representation of the image using an encoder of the ANN, and use a first decoder of the ANN to generate a first tag describing the generic content feature based on the latent vector representation. When a specific content feature learned by the ANN corresponds to the generic content to feature described by the first tag, the tagging software code uses a second decoder of the ANN to generate a second tag uniquely identifying the specific content feature based on the latent vector representation, and tags the content interval with the first and second tags.


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