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. 25, 2019

Filed:

Jun. 21, 2013
Applicant:

Xerox Corporation, Norwalk, CT (US);

Inventors:

Zeynep Akata, Grenoble, FR;

Florent C. Perronnin, Demene, FR;

Zaid Harchaoui, Grenoble, FR;

Cordelia L. Schmid, Saint Ismier, FR;

Assignee:

XEROX CORPORATION, Norwalk, CT (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/62 (2006.01); G06K 9/46 (2006.01); G06K 9/00 (2006.01);
U.S. Cl.
CPC ...
G06K 9/6267 (2013.01); G06K 9/00496 (2013.01); G06K 9/4633 (2013.01); G06K 9/4676 (2013.01); G06K 9/4685 (2013.01); G06K 9/628 (2013.01); G06K 9/6232 (2013.01); G06K 9/6234 (2013.01); G06K 9/6244 (2013.01);
Abstract

In image classification, each class of a set of classes is embedded in an attribute space where each dimension of the attribute space corresponds to a class attribute. The embedding generates a class attribute vector for each class of the set of classes. A set of parameters of a prediction function operating in the attribute space respective to a set of training images annotated with classes of the set of classes is optimized such that the prediction function with the optimized set of parameters optimally predicts the annotated classes for the set of training images. The prediction function with the optimized set of parameters is applied to an input image to generate at least one class label for the input image. The image classification does not include applying a class attribute classifier to the input image.


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