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:
Apr. 29, 2014

Filed:

May. 04, 2011
Applicants:

Michele Covell, Palo Alto, CA (US);

Mei Han, Palo Alto, CA (US);

Saurabh Mathur, Sunnyvale, CA (US);

Shumeet Baluja, Santa Clara, CA (US);

Vivek Kwatra, Santa Clara, CA (US);

Inventors:

Michele Covell, Palo Alto, CA (US);

Mei Han, 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:
Assistant Examiner:
Int. Cl.
CPC ...
G06F 15/18 (2006.01);
U.S. Cl.
CPC ...
Abstract

An exemplar dictionary is built from exemplars of digital content for determining predictor blocks for encoding and decoding digital content. The exemplar dictionary organizes the exemplars as clusters of similar exemplars. Each cluster is mapped to a label. Machine learning techniques are used to generate a prediction model for predicting a label for an exemplar. The exemplar dictionary is used to encode digital content. Clusters of exemplars are obtained by applying a prediction model to a target block of digital content for encoding. A predictor block is selected for encoding the target block based on frequency of occurrence of exemplars in the clusters. The target block is encoded using the predictor block.


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