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:
Aug. 20, 2013

Filed:

Apr. 08, 2011
Applicants:

Mei Han, Palo Alto, CA (US);

Michele Covell, Palo Alto, CA (US);

Saurabh Mathur, Sunnyvale, CA (US);

Shumeet Baluja, Santa Clara, CA (US);

Vivek Kwatra, Santa Clara, CA (US);

Inventors:

Mei Han, Palo Alto, CA (US);

Michele Covell, Palo Alto, CA (US);

Saurabh Mathur, Sunnyvale, CA (US);

Shumeet Baluja, Santa Clara, CA (US);

Vivek Kwatra, Santa Clara, CA (US);

Assignee:

Google Inc., Mountain View, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/36 (2006.01);
U.S. Cl.
CPC ...
Abstract

An exemplar dictionary is built from example image blocks for determining predictor blocks for encoding and decoding images. The exemplar dictionary comprises a hierarchical organization of example image blocks. The hierarchical organization of image blocks is obtained by clustering a set of example image blocks, for example, based on k-means clustering. Performance of clustering is improved by transforming feature vectors representing the image blocks to fewer dimensions. Principal component analysis is used for determining feature vectors with fewer dimensions. The clustering performed at higher levels of the hierarchy uses fewer dimensions of feature vectors compared to lower levels of hierarchy. Performance of clustering is improved by processing only a sample of the image blocks of a cluster. The clustering performed at higher levels of the hierarchy uses lower sampling rates as compared to lower levels of hierarchy.


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