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:
Nov. 13, 2018

Filed:

Sep. 22, 2016
Applicant:

Google Llc, Mountain View, CA (US);

Inventors:

Gregory S. Corrado, San Francisco, CA (US);

Jeffrey A. Dean, Palo Alto, CA (US);

Samy Bengio, Los Altos, CA (US);

Andrea L. Frome, Oakland, CA (US);

Jonathon Shlens, San Francisco, CA (US);

Assignee:

Google LLC, Mountain View, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/62 (2006.01);
U.S. Cl.
CPC ...
G06K 9/6256 (2013.01); G06K 9/624 (2013.01); G06K 9/6227 (2013.01); G06K 9/6262 (2013.01); G06T 2207/20084 (2013.01);
Abstract

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for classifying images. One of the methods includes obtaining data that associates each of a plurality of object category labels with a respective high-dimensional representation of the object category label, wherein the high-dimensional representation of the object category label is a numeric representation of the object category label in a high-dimensional space; receiving an input image; processing the input image using one or more core layers to generate an alternative representation of the input image; processing the alternative representation of the input image using a transformation layer to determine a high-dimensional representation for the input image; selecting, from the high-dimensional representations associated with the object category labels, a closest high-dimensional representation to the high-dimensional representation for the input image; and selecting the category label associated with the closest high-dimensional representation as a predicted label for the input image.


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Corrado, Gregory. (2018). Classifying images (U.S. Patent No. 10127475). U.S. Patent and Trademark Office. https://idiyas.com/patent/badge/10127475

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