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Volume: 63 | Article ID: jist0594
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An Efficient Multiple Description Coding for Multi-View Video Based on the Correlation of Spatial Polyphase Transformed Subsequences
  DOI :  10.2352/J.ImagingSci.Technol.2019.63.5.050401  Published OnlineSeptember 2019
Abstract
Abstract

For a robust three-dimensional video transmission through error prone channels, an efficient multiple description coding for multi-view video based on the correlation of spatial polyphase transformed subsequences (CSPT_MDC_MVC) is proposed in this article. The input multi-view video sequence is first separated into four subsequences by spatial polyphase transform and then grouped into two descriptions. With the correlation of macroblocks in corresponding subsequence positions, these subsequences should not be coded in completely the same way. In each description, one subsequence is directly coded by the Joint Multi-view Video Coding (JMVC) encoder and the other subsequence is classified into four sets. According to the classification, the indirectly coding subsequence selectively employed the prediction mode and the prediction vector of the counter directly coding subsequence, which reduces the bitrate consumption and the coding complexity of multiple description coding for multi-view video. On the decoder side, the gradient-based directional interpolation is employed to improve the side reconstructed quality. The effectiveness and robustness of the proposed algorithm is verified by experiments in the JMVC coding platform.

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  Cite this article 

Jing Chen, Jie Liao, Huanqiang Zeng, Canhui Cai, Kai-Kuang Ma, "An Efficient Multiple Description Coding for Multi-View Video Based on the Correlation of Spatial Polyphase Transformed Subsequencesin Journal of Imaging Science and Technology,  2019,  pp 050401-1 - 050401-7,  https://doi.org/10.2352/J.ImagingSci.Technol.2019.63.5.050401

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Copyright © Society for Imaging Science and Technology 2019
  Article timeline 
  • received October 2018
  • accepted March 2019
  • PublishedSeptember 2019

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