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. 20, 2015

Filed:

Dec. 08, 2011
Applicants:

Lyndon Kennedy, San Francisco, CA (US);

Roelof Van Zwol, Sunnyvale, CA (US);

Nicolas Torzec, Sunnyvale, CA (US);

Belle Tseng, Cupertino, CA (US);

Inventors:

Lyndon Kennedy, San Francisco, CA (US);

Roelof van Zwol, Sunnyvale, CA (US);

Nicolas Torzec, Sunnyvale, CA (US);

Belle Tseng, Cupertino, CA (US);

Assignee:

Yahoo! Inc., Sunnyvale, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/62 (2006.01);
U.S. Cl.
CPC ...
Abstract

Software for supervised learning extracts a set of pixel-level features from each source image in collection of source images. Each of the source images is associated with a thumbnail created by an editor. The software also generates a collection of unique bounding boxes for each source image. And the software calculates a set of region-level features for each bounding box. Each region-level feature results from the aggregation of pixel values for one of the pixel-level features. The software learns a regression model, using the calculated region-level features and the thumbnail associated with the source image. Then the software chooses a thumbnail from a collection of unique bounding boxes in a new image, based on application of the regression model.


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