TWO-STAGE MULTIPLE DESCRIPTION IMAGE CODING USING TCQ

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.

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Spatio-temporal error concealment technique for high order multiple description coding schemes including subjective assessment

2016 Eighth International Conference on Quality of Multimedia Experience (QoMEX) ◽

10.1109/qomex.2016.7498929 ◽

2016 ◽

Cited By ~ 4

Author(s):

Ahmed Aldahdooh ◽

Marcus Barkowsky ◽

Patrick Le Callet

Keyword(s):

Error Concealment ◽

Subjective Assessment ◽

High Order ◽

Multiple Description Coding ◽

Multiple Description ◽

Coding Schemes ◽

Spatio Temporal ◽

Description Coding ◽

Temporal Error Concealment

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Multiple description image compression based on multiwavelets

International Journal of Wavelets Multiresolution and Information Processing ◽

10.1142/s0219691318500637 ◽

2019 ◽

Vol 17 (01) ◽

pp. 1850063

Author(s):

Ning Wang ◽

Shuangkui Ge ◽

Baobin Li ◽

Lizhong Peng

Keyword(s):

Image Coding ◽

Packet Loss ◽

Source Coding ◽

Statistical Correlation ◽

Optimization Criterion ◽

Multiple Description Coding ◽

Transform Coding ◽

Original Image ◽

Multiple Description ◽

Description Coding

Multiple description coding (MDC) is one of the source coding techniques to alleviate the problems of packet loss in the network. The decoder estimates the lost signals from received ones, based on the certain statistical correlation between descriptions. However, this correlation also leads to compression redundancy at the same time. Therefore, how to make efficient use of the introduced correlation has great importance in practical MDC approaches. In this paper, we propose a multiple description image coding scenario based on balanced multiwavelets. Two simple and effective methods to reconstruct the original image from partial descriptions are suggested. Furthermore, optimization criterion corresponding to this multiwavelet based system is provided. According to this criterion, we can choose appropriate multifilter banks to satisfy different demands. Experimental results show that the optimized multifilter banks in a simulated transform coding environment perform very well.

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Multiple description coding using trellis coded quantization

Proceedings 2000 International Conference on Image Processing (Cat. No.00CH37101) ◽

10.1109/icip.2000.900977 ◽

2002 ◽

Cited By ~ 3

Author(s):

X. Wang ◽

M.T. Orchard

Keyword(s):

Multiple Description Coding ◽

Multiple Description ◽

Trellis Coded ◽

Description Coding

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An Efficient Multiple Description Coding for Multi-View Video Based on the Correlation of Spatial Polyphase Transformed Subsequences

Journal of Imaging Science and Technology ◽

10.2352/j.imagingsci.technol.2019.63.5.050401 ◽

2019 ◽

Vol 63 (5) ◽

pp. 50401-1-50401-7 ◽

Cited By ~ 1

Author(s):

Jing Chen ◽

Jie Liao ◽

Huanqiang Zeng ◽

Canhui Cai ◽

Kai-Kuang Ma

Keyword(s):

Video Transmission ◽

Video Sequence ◽

Three Dimensional ◽

The Other ◽

Multiple Description Coding ◽

Multiple Description ◽

Prediction Mode ◽

Gradient Based ◽

Directional Interpolation ◽

Description Coding

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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