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:
Jun. 22, 2021

Filed:

Dec. 29, 2016
Applicant:

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

Inventors:

Heath Hohwald, Logrono, ES;

Lawrence Lazare, Croton, NY (US);

Assignee:

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

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 16/00 (2019.01); G06F 16/583 (2019.01); G06F 16/51 (2019.01); G06F 16/9038 (2019.01); G06F 16/9535 (2019.01); G06K 9/62 (2006.01); G06K 9/46 (2006.01); G06K 9/00 (2006.01); G06N 3/04 (2006.01); G06F 3/0481 (2013.01); G06F 3/0484 (2013.01); G06N 3/08 (2006.01);
U.S. Cl.
CPC ...
G06F 16/5838 (2019.01); G06F 3/04817 (2013.01); G06F 3/04842 (2013.01); G06F 16/51 (2019.01); G06F 16/9038 (2019.01); G06F 16/9535 (2019.01); G06K 9/00677 (2013.01); G06K 9/4628 (2013.01); G06K 9/4671 (2013.01); G06K 9/6218 (2013.01); G06K 9/6269 (2013.01); G06K 9/6274 (2013.01); G06N 3/0454 (2013.01); G06N 3/08 (2013.01);
Abstract

Various aspects of the subject technology relate to systems, methods, and machine-readable media for clustering search results based on image composition. A system may, for each image in a set of images, determine a compositional vector representing one or more objects and corresponding locations within the image using a trained computer-operated convolutional neural network. The system may provide each image through a clustering algorithm to produce one or more clusters based on compositional similarity. The system may provide images from the set of images clustered by composition, in which the images include a different listing of images for each of the one or more clusters. The system may provide a prioritized listing of images responsive to a user search query, in which the prioritized listing of images includes a different listing of images for each cluster of compositional similarity based on the metadata of each image associated with the cluster.


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