DocumentCode
2059512
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
fYear
2002
fDate
2002
Firstpage
349
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Theory, 2002. Proceedings. 2002 IEEE International Symposium on
Print_ISBN
0-7803-7501-7
Type
conf
DOI
10.1109/ISIT.2002.1023621
Filename
1023621
Link To Document