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:
Apr. 28, 2020

Filed:

Jul. 07, 2015
Applicant:

Xerox Corporation, Norwalk, CT (US);

Inventors:

Albert Gordo Soldevila, Grenoble, FR;

Jon Almazán Almazán, Grenoble, FR;

Naila Murray, Grenoble, FR;

Florent C. Perronnin, Domène, FR;

Assignee:

XEROX CORPORATION, Norwalk, CT (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/66 (2006.01); G06F 17/30 (2006.01); G06K 9/72 (2006.01); G06K 9/62 (2006.01); G06F 16/583 (2019.01); G06K 9/00 (2006.01); G06N 3/08 (2006.01); G06N 3/04 (2006.01);
U.S. Cl.
CPC ...
G06K 9/66 (2013.01); G06F 16/5846 (2019.01); G06K 9/00852 (2013.01); G06K 9/6202 (2013.01); G06N 3/04 (2013.01); G06N 3/084 (2013.01);
Abstract

A system and method enable semantic comparisons to be made between word images and concepts. Training word images and their concept labels are used to learn parameters of a neural network for embedding word images and concepts in a semantic subspace in which comparisons can be made between word images and concepts without the need for transcribing the text content of the word image. The training of the neural network aims to minimize a ranking loss over the training set where non relevant concepts for an image which are ranked more highly than relevant ones penalize the ranking loss.


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