DocumentCode
2718652
Title
PPM Revisited with New Idea on Escape Probability Estimation
Author
Sayyed, Azaruddin ; Agarwal, Suneeta
Author_Institution
MNNIT, Allahabad
Volume
4
fYear
2007
fDate
13-15 Dec. 2007
Firstpage
152
Lastpage
156
Abstract
A variant of prediction by partial matching scheme with a modification of escape probability estimation is presented here. This paper gives a new method for bounded length context models with static estimation of escape probability. The experimental results have shown that the proposed technique performs better with a compression rate of 2.35 b/Character among all the bounded length PPM compression schemes. It is also observed that this method shows better results on files having binary data rather than character data.
Keywords
data compression; image coding; probability; PPM; bounded length context models; character data; compression rate; compression schemes; escape probability estimation; partial matching scheme; static estimation; Application software; Arithmetic; Compression algorithms; Computational intelligence; Computer science; Context modeling; Data compression; Encoding; Predictive models; Probability;
fLanguage
English
Publisher
ieee
Conference_Titel
Conference on Computational Intelligence and Multimedia Applications, 2007. International Conference on
Conference_Location
Sivakasi, Tamil Nadu
Print_ISBN
0-7695-3050-8
Type
conf
DOI
10.1109/ICCIMA.2007.262
Filename
4426469
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