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
fDate :
29 Jun-4 Jul 1997
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;
Conference_Titel :
Information Theory. 1997. Proceedings., 1997 IEEE International Symposium on
Conference_Location :
Ulm
Print_ISBN :
0-7803-3956-8
DOI :
10.1109/ISIT.1997.612972
