DocumentCode :
2737077
Title :
Lossless video compression using combination of temporal and spatial prediction
Author :
Ming-feng, Zhang ; Jia, Hu ; Li-ming, Zhang
Author_Institution :
Dept. of Electron. Eng., Fudan Univ., Shanghai, China
Volume :
2
fYear :
2003
fDate :
14-17 Dec. 2003
Firstpage :
1193
Abstract :
In this paper, we suggested a method for lossless video compression using combination of temporal and spatial adaptive prediction. This video encoder uses movement estimation to remove the temporal redundancy and uses GAP to remove the spatial redundancy, and then an adaptive method is used to combine the two predictions. The proposed schemes also use context-based coding. Experiment results shows that the proposed method has superior performance than state of the art lossless compression techniques JPEG-LS or CALIC about 10%, enabling more efficient video communications and storage.
Keywords :
data compression; entropy codes; motion compensation; motion estimation; prediction theory; redundancy; video coding; CALIC; JPEG-LS; adaptive method; context based coding; gradient adjusted predictor; lossless video compression; movement estimation; spatial adaptive prediction; spatial redundancy; state of the art; temporal adaptive prediction; temporal redundancy; video communications; video encoder; video storage; Biomedical imaging; Context; Digital images; Entropy coding; Image coding; Performance loss; Redundancy; Remote sensing; Testing; Video compression;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Neural Networks and Signal Processing, 2003. Proceedings of the 2003 International Conference on
Conference_Location :
Nanjing
Print_ISBN :
0-7803-7702-8
Type :
conf
DOI :
10.1109/ICNNSP.2003.1281083
Filename :
1281083
Link To Document :
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