DocumentCode :
2488932
Title :
Bregman sided and symmetrized centroids
Author :
Nielsen, Frank ; Nock, Richard
Author_Institution :
Sony Comput. Sci. Labs., Ecole Polytech., Palaiseau
fYear :
2008
fDate :
8-11 Dec. 2008
Firstpage :
1
Lastpage :
4
Abstract :
We generalize the notions of centroids and barycenters to the broad class of information-theoretic distortion measures called Bregman divergences. Because Bregman divergences are typically asymmetric, we consider both the left-sided and right-sided centroids and the symmetrized centroids, and prove that all three are unique. We give closed-form solutions for the sided centroids that are generalized means, and design a provably fast and efficient approximation algorithm for the symmetrized centroid based on its exact geometric characterization that requires solely to walk on the geodesic linking the two sided centroids.
Keywords :
approximation theory; computational geometry; content-based retrieval; feature extraction; image retrieval; Bregman divergence; approximation algorithm; barycenter centroid; closed-form solution; content-based multimedia retrieval application; feature extraction; geodesic linking; geometric characterization; image retrieval system; information-theoretic distortion measure; symmetrized centroid; Clustering algorithms; Content based retrieval; Distortion measurement; Euclidean distance; Feature extraction; Histograms; Image databases; Image retrieval; Multimedia databases; Multimedia systems;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Pattern Recognition, 2008. ICPR 2008. 19th International Conference on
Conference_Location :
Tampa, FL
ISSN :
1051-4651
Print_ISBN :
978-1-4244-2174-9
Electronic_ISBN :
1051-4651
Type :
conf
DOI :
10.1109/ICPR.2008.4761794
Filename :
4761794
Link To Document :
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