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:
Oct. 03, 2017

Filed:

Mar. 15, 2016
Applicant:

International Business Machines Corporation, Armonk, NY (US);

Inventors:

Rahil Garnavi, Macleod, AU;

Dwarikanath Mahapatra, Melbourne, AU;

Pallab K. Roy, Melbourne, AU;

Suman Sedai, Melbourne, AU;

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/62 (2006.01); G06T 7/00 (2017.01); G06K 9/66 (2006.01);
U.S. Cl.
CPC ...
G06T 7/0002 (2013.01); G06K 9/6267 (2013.01); G06K 9/66 (2013.01); G06T 2207/30168 (2013.01);
Abstract

Automatically determining image quality of a machine generated image may generate a local saliency map of the image to obtain a set of unsupervised features. The image is run through a trained convolutional neural network (CNN) to extract a set of supervised features from a fully connected layer of the CNN, the image convolved with a set of learned kernels from the CNN to obtain a complementary set of supervised features. The set of unsupervised features and the complementary set of supervised features are combined, and a first decision on gradability of the image is predicted. A second decision on gradability of the image is predicted based on the set of supervised features. Whether the image is gradable is determined based on a weighted combination of the first decision and the second decision.


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