DocumentCode
2079705
Title
A Novel Generalized Particle Model for Lossless Data Compression
Author
Shuai, Dianxun ; Shuai, Dianxun
Author_Institution
Dept. of Comput. Sci. & Eng., East China Univ. of Sci. & Tech., Shanghai
fYear
2006
fDate
19-20 June 2006
Firstpage
202
Lastpage
207
Abstract
This paper presents a new generalized particle model (GPM) to generate the prediction coding for lossless data compression. Local rules for particle movement in GPM, parallel algorithm and its implementation structure to generate the desired predictive coding are discussed. The proposed GPM approach has advantages in terms of encoding speed, parallelism, scalability, simplicity, and easy hardware implementation over other sequential lossless compression methods
Keywords
data compression; parallel algorithms; generalized particle model; lossless data compression; parallel algorithm; prediction coding; Data compression; Encoding; Image coding; Image reconstruction; Multimedia databases; Parallel processing; Phased arrays; Predictive coding; Predictive models; Wavelet transforms;
fLanguage
English
Publisher
ieee
Conference_Titel
Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing, 2006. SNPD 2006. Seventh ACIS International Conference on
Conference_Location
Las Vegas, NV
Print_ISBN
0-7695-2611-X
Type
conf
DOI
10.1109/SNPD-SAWN.2006.6
Filename
1640690
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