DocumentCode
3010130
Title
Context-based entropy coding of VQ indexes
Author
Wu, Xiaolin ; Wen, Jiang ; Ng, Wai-Yin
Author_Institution
Dept. of Inf. Eng., Chinese Univ. of Hong Kong, Shatin, Hong Kong
fYear
1997
fDate
29 Jun-4 Jul 1997
Firstpage
57
Abstract
Limited by the inherent computational intractability of vector quantization in dimensions, practical VQ coders all employ signal blocks of rather modest sizes, failing to capture all higher-order statistical dependency. Therefore, context-based, adaptive entropy coding of VQ indexes can significantly reduce the bit rate of VQ coders for a given distortion
Keywords
adaptive codes; entropy codes; image coding; rate distortion theory; vector quantisation; VQ coders; VQ indexes; adaptive entropy coding; bit rate reduction; context-based entropy coding; distortion; higher-order statistical dependency; image coding; signal blocks; vector quantization; Bayesian methods; Bit rate; Computational efficiency; Context modeling; Entropy coding; Image coding; Pixel; Quantization; Random processes; Source coding;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Theory. 1997. Proceedings., 1997 IEEE International Symposium on
Conference_Location
Ulm
Print_ISBN
0-7803-3956-8
Type
conf
DOI
10.1109/ISIT.1997.612972
Filename
612972
Link To Document