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:
Feb. 26, 2013

Filed:

Apr. 30, 2009
Applicants:

Sangho Yoon, San Mateo, CA (US);

Jay Yagnik, Mountain View, CA (US);

Mei Han, Cupertino, CA (US);

Vivek Kwatra, Santa Clara, CA (US);

Inventors:

Sangho Yoon, San Mateo, CA (US);

Jay Yagnik, Mountain View, CA (US);

Mei Han, Cupertino, CA (US);

Vivek Kwatra, Santa Clara, CA (US);

Assignee:

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

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

Clustering algorithms such as k-means clustering algorithm are used in applications that process entities with spatial and/or temporal characteristics, for example, media objects representing audio, video, or graphical data. Feature vectors representing characteristics of the entities are partitioned using clustering methods that produce results sensitive to an initial set of cluster seeds. The set of initial cluster seeds is generated using principal component analysis of either the complete feature vector set or a subset thereof. The feature vector set is divided into a desired number of initial clusters and a seed determined from each initial cluster.


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