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
fDate :
27 Jun-1 Jul 1994
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;
Conference_Titel :
Information Theory, 1994. Proceedings., 1994 IEEE International Symposium on
Conference_Location :
Trondheim
Print_ISBN :
0-7803-2015-8
DOI :
10.1109/ISIT.1994.394634
