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. 31, 2023

Filed:

Jul. 27, 2021
Applicant:

Toshiba Global Commerce Solutions Holdings Corporation, Tokyo, JP;

Inventors:

Manda Miller, Raleigh, NC (US);

Kirk Goldman, Cary, NC (US);

Jon A. Hoffman, Cary, NC (US);

John Pistone, Cary, NC (US);

Dimple Nanwani, Durham, NC (US);

Theodore Clark, Allendale, NJ (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G10L 13/027 (2013.01); G06T 11/00 (2006.01); G06N 5/04 (2023.01); G06Q 10/10 (2023.01); G06F 21/44 (2013.01); G06V 10/10 (2022.01); G06F 18/2415 (2023.01); G06Q 30/0601 (2023.01); G06Q 10/101 (2023.01);
U.S. Cl.
CPC ...
G10L 13/027 (2013.01); G06F 18/2415 (2023.01); G06F 21/44 (2013.01); G06Q 10/101 (2013.01); G06Q 30/0631 (2013.01); G06T 11/00 (2013.01); G06V 10/10 (2022.01);
Abstract

The present disclosure provides techniques for graphics translation. A plurality of natural language image descriptions is collected for an image of a product. An overall description for the image is generated using one or more models, based on the plurality of natural language image descriptions, by: identifying a set of shared descriptors used in at least a subset of the plurality of natural language image descriptions, and aggregating the set of shared descriptors to form the overall description. A first request to provide a description of the first image is received, and the overall description is returned in response to the first request, where the overall description is output using one or more text-to-speech techniques.


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