Title :
Variable metric for binary vector quantization
Author :
Kärkkäinen, Ismo ; Fränti, Pasi
Author_Institution :
Dept. of Comput. Sci., Joensuu Univ., Finland
Abstract :
We present a new method for performing vector quantization of binary vectors. The proposed method varies the distance metric and updates the centroids in an optimal manner regarding the current metric. The corresponding centroids change from "soft", allowing variables of codevectors to have values between zero and one, to hard, pure binary codevectors.
Keywords :
binary codes; vector quantisation; binary codevectors; binary vector quantization; distance metric; Cameras; Computer science; DNA; Euclidean distance; Iterative algorithms; Iterative methods; Partitioning algorithms; Simulated annealing; Vector quantization;
Conference_Titel :
Image Processing, 2004. ICIP '04. 2004 International Conference on
Print_ISBN :
0-7803-8554-3
DOI :
10.1109/ICIP.2004.1421870
