Hash signature saving in distributed video coding

In transform-domain distributed video coding (DVC), the correlation noises (denoted as N) between the source block and its temporal predictor can be modeled as Laplacian random variables. In this paper we propose that the noises (denoted as N') between the source block and its co-located block in a...

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Bibliographic Details
Published inFrontiers of information technology & electronic engineering Vol. 12; no. 2; pp. 163 - 170
Main Authors Chen, Xin-hao, Zhu, Xing-guo, Shen, Xiao-lin, Yu, Lu
Format Journal Article
LanguageEnglish
Published Heidelberg SP Zhejiang University Press 01.02.2011
Springer Nature B.V
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Summary:In transform-domain distributed video coding (DVC), the correlation noises (denoted as N) between the source block and its temporal predictor can be modeled as Laplacian random variables. In this paper we propose that the noises (denoted as N') between the source block and its co-located block in a reference frame can also be modeled as Laplacian random variables. Furthermore, it is possible to exploit the relationship between N and N' to improve the performance of the DVC system. A practical scheme based on theoretical insights, the hash signature saving scheme, is proposed. Experimental results show that the proposed scheme saves on average 83.2% of hash signatures, 13.3% of bit-rate, and 3.9% of encoding time.
Bibliography:Distributed video coding (DVC), Hash, Laplacian
TN919.8
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ISSN:1869-1951
2095-9184
1869-196X
2095-9230
DOI:10.1631/jzus.C1000008