Title :
Lossless Data Compression: A Particle Dynamics Model
Author :
Shuai, Dianxun ; Shuai, Qing ; Dong, Yumin
Author_Institution :
East China Univ. of Sci. & Technol.
Abstract :
This paper presents a new generalized particle model (GPM) to generate the prediction coding for lossless data compression. We discuss the GPM-based parallel algorithm, its properties and realization scheme. The proposed GPM approach has advantages in terms of parallelism, scalability and easy hardware implementation over other sequential lossless compression methods
Keywords :
data compression; parallel algorithms; lossless data compression; parallel algorithm; particle dynamics model; prediction coding; Cellular neural networks; Context modeling; Data compression; Image coding; Multimedia databases; Parallel algorithms; Predictive coding; Predictive models; Quantization; Wavelet transforms; Distributed parallel algorithm; Lossless data compression; Particle model; Prediction coding;
Conference_Titel :
Service Systems and Service Management, 2006 International Conference on
Conference_Location :
Troyes
Print_ISBN :
1-4244-0450-9
Electronic_ISBN :
1-4244-0451-7
DOI :
10.1109/ICSSSM.2006.320600