Paper Info
Title
Improved virtual channel noise model for transform domain Wyner-Ziv video coding
Abstract
Distributed video coding (DVC) has been proposed as a new video coding paradigm to deal with lossy source coding using side information to exploit the statistics at the decoder to reduce computational demands at the encoder. A virtual channel noise model is utilized at the decoder to estimate the noise distribution between the side information frame and the original frame. This is one of the most important aspects influencing the coding performance of DVC. Noise models with different granularity have been proposed. In this paper, an improved noise model for transform domain Wyner-Ziv video coding is proposed, which utilizes cross-band correlation to estimate the Laplacian parameters more accurately. Experimental results show that the proposed noise model can improve the rate-distortion (RD) performance.
Year
DOI
Venue
2009
10.1109/ICASSP.2009.4959735
ICASSP
Keywords
Field
DocType
noise,coding performance,noise model,side information,virtual channel noise model,transform domain wyner-ziv video coding,rate distortion,distributed video coding,cross-band correlation,improved virtual channel noise,dvc,source coding,video coding,transforms,original frame,domain wyner-ziv video coding,virtual channel,rate distortion theory,improved noise model,noise distribution,proposed noise model,new video,parameter estimation,feedback,encoding,decoding,statistical distributions,pixel,cyclic redundancy check,motion estimation,source code
Computer science,Multiview Video Coding,Coding (social sciences),Artificial intelligence,Rate–distortion theory,Context-adaptive binary arithmetic coding,Pattern recognition,Coding tree unit,Algorithm,Speech recognition,Sub-band coding,Encoder,Decoding methods
Conference
ISSN
ISBN
Citations 
1520-6149 E-ISBN : 978-1-4244-2354-5
978-1-4244-2354-5
22
PageRank 
References 
Authors
0.94
4
2
Name
Order
Citations
PageRank
Xin Huang1332.52
Soren Forchhammer210811.83