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:
Sep. 15, 2020

Filed:

Mar. 08, 2016
Applicant:

Shutterstock, Inc., New York, NY (US);

Inventors:

David Chester, Brooklyn, NY (US);

Nathan Hurst, Seattle, WA (US);

Assignee:

Shutterstock, Inc., New York, NY (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06N 7/00 (2006.01); G06N 3/04 (2006.01); G06N 3/08 (2006.01); G06F 40/45 (2020.01); G06N 20/00 (2019.01);
U.S. Cl.
CPC ...
G06N 7/005 (2013.01); G06F 40/45 (2020.01); G06N 3/0454 (2013.01); G06N 3/08 (2013.01); G06N 20/00 (2019.01);
Abstract

Various aspects of the subject technology relate to systems, methods, and machine-readable media for language translation based on image search similarities. These aspects include an image retrieval system using a convolutional neural network that is trained to identify a correlation between an image and a language term, and using an image search engine to search against images corresponding to visual words that are responsive to a given search query in a given spoken language. These aspects include access to interaction probability data that identifies user interaction probabilities for the visual words to determine a correlation between the input language terms of the search query and the rate at which users interact with images of a corresponding visual word that is responsive to the search query. The system then provides a prioritized listing of images that is responsive to the given search query based on the identified user interaction probabilities.


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