DocumentCode
2617983
Title
On the interaction between universal context modeling and prediction
Author
Weinberger, Marcelo J. ; Seroussi, Gadiel
Author_Institution
Hewlett-Packard Co., Palo Alto, CA, USA
fYear
1994
fDate
27 Jun-1 Jul 1994
Firstpage
385
Abstract
Investigates the use of prediction as a means of reducing the model cost in lossless data compression. The authors show that its combination with a universal code may result in a faster convergence rate to the source entropy
Keywords
binary sequences; convergence; entropy; prediction theory; source coding; trees (mathematics); convergence rate; lossless data compression; model cost; prediction; source entropy; universal context modeling; Context modeling; Convergence; Costs; Data compression; Entropy; Gray-scale; Laboratories; Milling machines; Predictive models; Tree data structures;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Theory, 1994. Proceedings., 1994 IEEE International Symposium on
Conference_Location
Trondheim
Print_ISBN
0-7803-2015-8
Type
conf
DOI
10.1109/ISIT.1994.394634
Filename
394634
Link To Document