DocumentCode :
2481139
Title :
An affinity propagation based method for vector quantization codebook design
Author :
Jiang, Wu ; Ding, Fei ; Xiang, Qiao-Liang
Author_Institution :
Coll. of Comput. & Inf. Sci., Northeastern Univ., Boston, MA
fYear :
2008
fDate :
8-11 Dec. 2008
Firstpage :
1
Lastpage :
4
Abstract :
In this paper, we firstly modify a parameter in affinity propagation (AP) to improve its convergence ability, and then, we apply it to vector quantization (VQ) codebook design problem. In order to improve the quality of the resulted codebook, we combine the improved AP (IAP) with the conventional LBG algorithm to generate an effective algorithm call IAP-LBG. According to the experimental results, the proposed method not only improves its convergence abilities but also provides higher-quality codebooks than conventional LBG method does.
Keywords :
convergence; pattern clustering; unsupervised learning; vector quantisation; IAP-LBG algorithm; affinity propagation convergence; data compression; unsupervised clustering; vector quantization codebook design; Clustering algorithms; Convergence; Cost function; Design automation; Educational institutions; Euclidean distance; Image coding; Information science; Telecommunication computing; Vector quantization;
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.2008.4761392
Filename :
4761392
Link To Document :
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