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. 29, 2020

Filed:

May. 17, 2018
Applicant:

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

Inventor:

Michael Steven Ranzinger, Boulder, CO (US);

Assignee:

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

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 16/583 (2019.01); G06F 16/56 (2019.01); G06F 16/2457 (2019.01); G06N 3/08 (2006.01); G06T 7/70 (2017.01); G06K 9/62 (2006.01); G06F 9/46 (2006.01); G06K 9/46 (2006.01); G06N 3/04 (2006.01);
U.S. Cl.
CPC ...
G06F 16/5854 (2019.01); G06F 16/24578 (2019.01); G06F 16/56 (2019.01); G06K 9/4671 (2013.01); G06K 9/627 (2013.01); G06K 9/6215 (2013.01); G06N 3/04 (2013.01); G06N 3/08 (2013.01); G06T 7/70 (2017.01);
Abstract

Various aspects of the subject technology relate to systems, methods, and machine-readable media for relational image querying. A system may receive a search query for content from a client device, where the query specifies one or more objects and one or more spatial relationships between the one or more objects. The system may generate a query vector for the query using a computer-operated neural language model. The system may compare the query vector to an indexed vector for each of the one or more spatial relationships between the one or more objects of an image. The system may determine a listing of relational images from a collection of images based on the comparison. The system may determine a ranking for each image in the listing of relational images, and provide search results responsive to the search query to the client device, which may include a prioritized listing of the relational images based on the determined ranking.


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