scholarly journals Multiple description coding of scalable video stream based on unequal loss protection and optimal rate allocation

2012 ◽  
Vol 19 (3) ◽  
pp. 782-794 ◽  
Author(s):  
M.R. Ardestani ◽  
A.A. Beheshti Shirazi
Keyword(s):  
Video Stream ◽  
Rate Allocation ◽  
Multiple Description Coding ◽  
Optimal Rate ◽  
Scalable Video ◽  
Multiple Description ◽  
Optimal Rate Allocation ◽  
Description Coding ◽  
Unequal Loss Protection

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.

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