Title :
Arbitrary source models and Bayesian codebooks in rate-distortion theory
Author :
Kontoyiannis, Ioannis ; Zhang, Junshan
Author_Institution :
Dept. of Comput. Sci., Brown Univ., Providence, RI, USA
Abstract :
We give a development of universal lossy data compression based on a lossy version of the Kraft inequality. As an application, we evaluate the performance of universal mixture codebooks.
Keywords :
Bayes methods; data compression; probability; rate distortion theory; source coding; variable length codes; Bayesian codebooks; Kraft inequality; arbitrary source models; probability distributions; rate-distortion theory; universal lossy data compression; universal mixture codebooks; variable length code; Application software; Bayesian methods; Computer science; Data compression; Decoding; Distortion measurement; Loss measurement; Probability distribution; Rate-distortion; World Wide Web;
Conference_Titel :
Information Theory, 2002. Proceedings. 2002 IEEE International Symposium on
Print_ISBN :
0-7803-7501-7
DOI :
10.1109/ISIT.2002.1023621