Paper Info
Title
An Error Resilient Video Coding Scheme Using Embedded Wyner–Ziv Description With Decoder Side Non-Stationary Distortion Modeling
Abstract
In this paper, we propose a generic error resilient video coding (ERVC) scheme using embedded Wyner-Ziv (WZ) description. At the encoder side, a joint source-channel R-D optimized mode selection (JSC-RDO-MS) algorithm with WZ-coded anchor frames is statistically studied and developed. Given a stationary first-order Markov Gaussian source, the proposed mode optimization is justified by an analysis of the RD impact on the WZ bit-rate. JSC-RDO-MS involves in the estimation of expected rate and distortion of WZ coding with the unavailable side information, and the WZ bit-rate of each coding mode is determined based on the error correction capability of the specific WZ codec. At the decoder side, an online correlation noise model between the source and the side-information is proposed with a mixture of Laplacians whose parameters are attained to reflect the coherence of the motion field of successive frames and the energy of prediction residual. Each mixture component represents the statistical distribution of prediction residuals, and the mixing coefficients represent the amount of errors in motion compensation. The proposed scheme achieves the so-called classification gain by exploiting the spatially non-stationary characteristics of the motion field and texture. Extensive experimental results show that the proposed WZ-ERVC scheme achieves a better overall RD performance than existing ERVC schemes, and the proposed modeling algorithm also significantly outperforms the conventional Laplacian model by up to 2 dB.
Year
DOI
Venue
2011
10.1109/TCSVT.2011.2129050
IEEE Trans. Circuits Syst. Video Techn.
Keywords
Field
DocType
ervc scheme,decoder side non-stationary distortion,r-d optimized mode selection,specific wz codec,error resilient video coding,proposed mode optimization,wz bit-rate,wz coding,ziv description,proposed modeling algorithm,proposed wz-ervc scheme,motion field,proposed scheme,image texture,markov processes,decoding,generalization error,noise,image classification,correlation,statistical distribution,first order,error correction,markov process,motion compensation,motion estimation,encoding,indexing terms
Motion field,Computer science,Motion compensation,Artificial intelligence,Motion estimation,Rate–distortion theory,Distortion,Pattern recognition,Algorithm,Speech recognition,Error detection and correction,Encoder,Decoding methods
Journal
Volume
Issue
ISSN
21
4
1051-8215
Citations 
PageRank 
References 
6
0.45
30
Authors
5
Name
Order
Citations
PageRank
Yongsheng Zhang120443.58
Hongkai Xiong251282.84
Zhihai He31544114.45
Yu Song435652.74
Chang Wen Chen52973263.89