Title :
A neural network approach to vector quantization codebook generation
Author :
Xinwen, Wang ; Lihe, Zou ; Zhenya, He
Author_Institution :
Dept. of Radio Eng., Southeast Univ., Nanjing, China
Abstract :
According to the analysis of the asymptotic optimal codebook of vector quantization (VQ) and the scale factor property of self-organization (SOFM), the authors conclude that SOFM has the potential to construct the asymptotic optimal codebook. Preliminary experiments are presented for verification of the analysis
Keywords :
data compression; encoding; neural nets; picture processing; SOFM; asymptotic optimal codebook; image coding; neural network; scale factor; self-organization; vector quantization codebook generation; Control engineering; Digital signal processing; Helium; Image coding; Information analysis; Information processing; Laboratories; Neural networks; Rate-distortion; Vector quantization;
Conference_Titel :
Circuits and Systems, 1991. Conference Proceedings, China., 1991 International Conference on
Conference_Location :
Shenzhen
DOI :
10.1109/CICCAS.1991.184406
