Paper Info
Title
A Switched Predictive Coding Method for Lossless Video Coding
Abstract
This paper presents a switched predictive coding method for lossless compression of video. In the proposed method, a set of switched predictors is found by a training process that uses only a small number of successive frames of a video and then the trained predictors are used with a large number of the frames of the video. To find the predictors, the pixels of the successive frames are first classified based on an estimate of activity level in their neighbouring pixels and then LS based feedback type of predictors are estimated for all the pixels belonging to each of the classes. We propose a total of 21 classes, which are obtained by combining the seven slope bins of Gradient Adjusted Predictor (GAP) and three classified temporal contexts. After collecting the predictors for pixels belonging to each of the 21 classes, the best predictor, in terms of minimum zero-order entropy, is chosen to represent the various classes. Simulation results show that the application of the set of the predictors results in competitive performance with the LOPT - one of the best methods in terms of achievable compression ratio. Our method and LOPT has same order of coding complexity while our decoder is computationally very simple as against high complexity of LOPT based decoder.
Year
DOI
Venue
2008
10.1109/ICVGIP.2008.105
ICVGIP
Keywords
Field
DocType
computational complexity,data compression,gradient methods,image resolution,video coding,coding complexity,compression ratio,gradient adjusted predictor,lossless video coding,switched predictive coding method
Computer vision,Pattern recognition,Computer science,Coding (social sciences),Compression ratio,Pixel,Artificial intelligence,Decoding methods,Data compression,Image resolution,Lossless compression,Computational complexity theory
Conference
Citations 
PageRank 
References 
0
0.34
2
Authors
2
Name
Order
Citations
PageRank
Anil Kumar Tiwari16517.51
R V. Raja Kumar23910.24