Multiple description coding using trellis coded quantization

Author(s):  
X. Wang ◽  
M.T. Orchard
Author(s):  
CHUNYU LIN ◽  
YAO ZHAO ◽  
CE ZHU

In this paper, we incorporate Trellis Coded Quantization (TCQ) into a two-stage multiple description coding structure to obtain granular gain over two-stage multiple description Scalar Quantizer (SQ). Analysis and experiment on Gaussian signal show that the performance of the proposed scheme can achieve larger gain than that of the two-stage SQ scheme because of better performance of TCQ. The proposed scheme for image coding is shown to be more effective than other relevant multiple description image coding schemes in terms of central-side-distortion rate performance.


2019 ◽  
Vol 63 (5) ◽  
pp. 50401-1-50401-7 ◽  
Author(s):  
Jing Chen ◽  
Jie Liao ◽  
Huanqiang Zeng ◽  
Canhui Cai ◽  
Kai-Kuang Ma

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.


2011 ◽  
Vol 57 (3) ◽  
pp. 1443-1456 ◽  
Author(s):  
Jia Wang ◽  
Jun Chen ◽  
Lei Zhao ◽  
Paul Cuff ◽  
Haim Permuter

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 26013-26021 ◽  
Author(s):  
Hongfei Li ◽  
Lili Meng ◽  
Jia Zhang ◽  
Yanyan Tan ◽  
Yuwei Ren ◽  
...  

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