Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/64671
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Type: Conference paper
Title: A novel reconstruction approach for pixel-domain distributed video coding
Author: Du, B.
Shen, H.
Citation: Proceedings of the 2010 2nd International Conference on Future Computer and Communication, (ICFCC 2010), held in Wuhan, China 21-24th May 2010: pp.614-618
Publisher: IEEE
Publisher Place: USA
Issue Date: 2010
ISBN: 9781424458240
Conference Name: International Conference on Future Computer and Communication (2nd : 21010 : Wuhan, China)
Statement of
Responsibility: 
Baoguo Du and Hong Shen
Abstract: Distributed Video Coding (DVC) is a new video coding which shifts the complexity from the encoder to the decoder. In DVC, the side information is only known at the decoder to exploit the source statistics. Therefore it has a lower-complexity encoder but higher-complexity decoder. The reconstruction function plays an important role in DVC which can improve the quality of video sequences. In the previous study, pixel values of video frames were considered as the continuous random variables, which is impractical. In this paper, we propose a novel reconstruction algorithm in which pixel values are thought as discrete random variables. We also present a method to model the correlation noise at the encoder to obtain a more accurate estimation of the correlation noise model (CNM). The experiment results show that the proposed reconstruction algorithm is comparable to the optimal reconstruction algorithm and can result in better rate distortion performance than the straightforward reconstruction algorithm.
Keywords: distributed video coding
Correlation noise model
coding performance
low complexity
Rights: Copyright 2010 IEEE
DOI: 10.1109/ICFCC.2010.5497548
Appears in Collections:Aurora harvest
Computer Science publications

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