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