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

2016 ◽  
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

scholarly journals Investigation of Error Concealment Using Different Transform Codings and Multiple Description Codings

2012 ◽  
Vol 63 (3) ◽  
pp. 171-179 ◽  
Author(s):  
Ali Farzamnia ◽  
Sharifah Syed-Yusof ◽  
Norsheila Fisal ◽  
Syed Abu-Bakar
Keyword(s):  
Wavelet Transform ◽  
Error Concealment ◽  
Subjective Evaluation ◽  
Multiple Description Coding ◽  
Transform Domain ◽  
Multiple Description ◽  
Orthogonal Transform ◽  
Standard Deviations ◽  
Image Pixels ◽  
Description Coding

Investigation of Error Concealment Using Different Transform Codings and Multiple Description CodingsThere has been increasing usage of Multiple Description Coding (MDC) for error concealment in non-ideal channels. A lot of ideas have been masterminded for MDC method up to now. This paper described the attempts to conceal the error and reconstruct the lost descriptions caused by combining MDC and lapped orthogonal transform (LOT). In this work LOT and other transforms codings (DCT and wavelet) are used to decorrelate the image pixels in the transform domain. LOT has better performance at low bit rates in comparison to DCT and wavelet transform. The results show that MSE for the proposed methods in comparison to DCT and wavelet have decreased significantly. The PSNR values of reconstructed images are high. The subjective evaluation of image is very good and clear. Furthermore, the standard deviations of reconstructed images are very small especially in low capacity channels.

TWO-STAGE MULTIPLE DESCRIPTION IMAGE CODING USING TCQ

2009 ◽  
Vol 07 (05) ◽  
pp. 665-673 ◽  
Author(s):  
CHUNYU LIN ◽  
YAO ZHAO ◽  
CE ZHU
Keyword(s):  
Image Coding ◽  
Multiple Description Coding ◽  
Rate Performance ◽  
Two Stage ◽  
Multiple Description ◽  
Coding Schemes ◽  
Trellis Coded ◽  
Gaussian Signal ◽  
Description Coding ◽  
Distortion Rate

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.

scholarly journals Spatial Multiple Description Coding for Scalable Video Streams

2014 ◽  
Vol 2014 ◽  
pp. 1-8
Author(s):  
Roya Choupani ◽  
Stephan Wong ◽  
Mehmet Tolun
Keyword(s):  
Video Coding ◽  
Error Concealment ◽  
Scalable Video Coding ◽  
Video Stream ◽  
Multiple Description Coding ◽  
Scalable Video ◽  
Video Adaptation ◽  
Multiple Description ◽  
Network Bandwidth ◽  
Description Coding

The need for adapting video stream delivery over heterogeneous and unreliable networks requires self-adaptive and error resilient coding. Network bandwidth fluctuations can be handled by means of a video coding scheme which adapts to the channel conditions. However, packet losses which are frequent in wireless networks can cause a mismatch during the reconstruction in the receiver end and result in an accumulation of errors which deteriorates the quality of the delivered video. A combination of multiple description coding in pixel domain and scalable video coding schemes which addresses both video adaptation and robustness to data loss is proposed in this paper. The proposed scheme combines error concealment with spatial video scalability. In order to improve the fidelity of the reconstructed to the original frames in presence of packet loss, a multilayer polyphase spatial decomposition algorithm is proposed. Classical multiple description methods interpolate the missing data which results in smoothing and artifact at object boundaries. The proposed algorithm addresses the quality degradation due to low-pass filtering effect of interpolation methods. We also comparatively analyze the trade-off between robustness to channel errors and coding efficiency.

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

2019 ◽  
Vol 63 (5) ◽  
pp. 50401-1-50401-7 ◽  
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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