Title
Reconstruction For Distributed Video Coding: A Markov Random Field Approach With Context-Adaptive Smoothness Prior
Abstract
An important issue in Wyner-Ziv video coding is the reconstruction of Wyner-Ziv frames with decoded bit-planes. So far, there are two major approaches: the Maximum a Posteriori (MAP) reconstruction and the Minimum Mean Square Error (MMSE) reconstruction algorithms. However, these approaches do not exploit smoothness constraints in natural images. In this paper, we model a Wyner-Ziv frame by Markov random fields (MRFs), and produce reconstruction results by finding an MAP estimation of the MRF model. In the MRF model, the energy function consists of two terms: a data term, MSE distortion metric in this paper, measuring the statistical correlation between side-information and the source, and a smoothness term enforcing spatial coherence. In order to better describe the spatial constraints of images, we propose a context-adaptive smoothness term by analyzing the correspondence between the output of Slepian-Wolf decoding and successive frames available at decoders. The significance of the smoothness term varies in accordance with the spatial variation within different regions. To some extent, the proposed approach is an extension to the MAP and MMSE approaches by exploiting the intrinsic smoothness characteristic of natural images. Experimental results demonstrate a considerable performance gain compared with the MAP and MMSE approaches.
Year
DOI
Venue
2010
10.1117/12.863504
VISUAL COMMUNICATIONS AND IMAGE PROCESSING 2010
Keywords
Field
DocType
Markov random fields, Energy minimization, Smoothness prior, Reconstruction, Wyner-Ziv coding, Distributed video coding
Computer science,Markov random field,Mean squared error,Artificial intelligence,Smoothness,Computer vision,Mathematical optimization,Random field,Markov model,Markov chain,Minimum mean square error,Algorithm,Maximum a posteriori estimation
Conference
Volume
Issue
ISSN
7744
null
0277-786X
Citations 
PageRank 
References 
1
0.35
0
Authors
4
Name
Order
Citations
PageRank
Yongsheng Zhang120443.58
Hongkai Xiong251282.84
Zhihai He31544114.45
Yu Song435652.74