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. 11, 2022

Filed:

Aug. 21, 2020
Applicant:

Dropbox, Inc., San Francisco, CA (US);

Inventors:

Thomas Berg, San Francisco, CA (US);

Peter Neil Belhumeur, New York, NY (US);

Assignee:

Dropbox, Inc., San Francisco, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/62 (2006.01); G06K 9/72 (2006.01); G06F 16/53 (2019.01); G06F 16/51 (2019.01); G06F 16/58 (2019.01); G06F 16/56 (2019.01);
U.S. Cl.
CPC ...
G06K 9/726 (2013.01); G06F 16/51 (2019.01); G06F 16/53 (2019.01); G06F 16/56 (2019.01); G06F 16/5866 (2019.01); G06K 9/628 (2013.01); G06K 9/6215 (2013.01);
Abstract

Computer-implemented techniques for sematic image retrieval. According to one technique, digital images are classified into N number of categories based on their visual content. The classification provides a set of N-dimensional image vectors for the digital images. Each image vector contains up to N number of probability values for up to N number of corresponding categories. An N-dimensional image match vector is generated that projects an input keyword query into the vector space of the set of image vectors by computing the vector similarities between a word vector for the input query and a word vector for each of the N number of categories. Vector similarities between the image match vectors and the set of image vectors can be computed to determine images semantically relevant to the input query.


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