Multiple description coding for scalable video coding with redundant slice

2012 ◽  
Author(s):  
Chunyu lin ◽  
Yao Zhao ◽  
Huihui Bai ◽  
Kwong Huang Goh
Keyword(s):  
Video Coding ◽  
Scalable Video Coding ◽  
Multiple Description Coding ◽  
Scalable Video ◽  
Multiple Description ◽  
Description Coding

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.

scholarly journals P2P video streaming combining SVC and MDC

2011 ◽  
Vol 21 (2) ◽  
pp. 295-306 ◽  
Author(s):  
Francisco de Asís López-Fuentes
Keyword(s):  
Video Coding ◽  
Video Streaming ◽  
Packet Loss ◽  
Scalable Video Coding ◽  
Video Quality ◽  
Scalable Video ◽  
Video Content ◽  
Multiple Description ◽  
Video Distribution ◽  
P2p Video Streaming

P2P video streaming combining SVC and MDC In this paper we propose and evaluate a combined SVC-MDC (Scalable Video Coding & Multiple Description Video Coding) video coding scheme for Peer-to-Peer (P2P) video multicast. The proposed scheme is based on a full cooperation established between the peer sites, which contribute their upload capacity during video distribution. The source site splits the video content into many small blocks and assigns each block to a single peer for redistribution. Our solution is implemented in a fully meshed P2P network in which peers are connected to each other via UDP (User Datagram Protocol) links. The video content is encoded by using the Scalable Video Coding (SVC) method. We present a flow control mechanism that allows us to optimize dynamically the overall throughput and to automatically adjust video quality for each peer. Thus, peers with different upload capacity receive different video quality. We also combine the SVC method with Multiple Description Coding (MDC) to alleviate the packet loss problem. We implemented and tested this approach in the PlanetLab infrastructure. The obtained results show that our solution achieves good performance and remarkable video quality in the presence of packet loss.

Multiple Description Coding for Multipath Video Streaming

2016 ◽  
pp. 63-117
Author(s):  
Pedro Correia ◽  
Pedro A. Amado Assuncao ◽  
Vítor Silva
Keyword(s):  
Video Coding ◽  
Video Streaming ◽  
Multiple Description Coding ◽  
Video Adaptation ◽  
Path Diversity ◽  
Coding Efficiency ◽  
Multiple Description ◽  
Research Findings ◽  
Advanced Video Coding ◽  
Description Coding

This Chapter addresses robust video coding and adaptation of compressed streams in multipath communications environments, using Multiple Description Coding (MDC). A review of Multiple Description (MD) video coding is presented, covering different video coding approaches. Different path diversity topologies and MDC networking applications are described, including MD video adaptation schemes to operate at network edges, for robust video streaming. A multi-loop architecture for Advanced Video Coding (AVC) to prevent drift distortion accumulation is also described. A simulation study of MDC for AVC is presented to evaluate the coding efficiency, the effects of distortion propagation and streaming performance in lossy networks. These research findings extend the current state-of-the-art MDC methods by developing new networking capabilities in different application scenarios maintaining coding efficiency, and increasing error robustness, when subject to transmission losses.

Multiple Description Coding for Multipath Video Streaming

Biometrics ◽  
2017 ◽  
pp. 836-891
Author(s):  
Pedro Correia ◽  
Pedro A. Amado Assuncao ◽  
Vítor Silva
Keyword(s):  
Video Coding ◽  
Video Streaming ◽  
Multiple Description Coding ◽  
Video Adaptation ◽  
Path Diversity ◽  
Coding Efficiency ◽  
Multiple Description ◽  
Research Findings ◽  
Advanced Video Coding ◽  
Description Coding

This Chapter addresses robust video coding and adaptation of compressed streams in multipath communications environments, using Multiple Description Coding (MDC). A review of Multiple Description (MD) video coding is presented, covering different video coding approaches. Different path diversity topologies and MDC networking applications are described, including MD video adaptation schemes to operate at network edges, for robust video streaming. A multi-loop architecture for Advanced Video Coding (AVC) to prevent drift distortion accumulation is also described. A simulation study of MDC for AVC is presented to evaluate the coding efficiency, the effects of distortion propagation and streaming performance in lossy networks. These research findings extend the current state-of-the-art MDC methods by developing new networking capabilities in different application scenarios maintaining coding efficiency, and increasing error robustness, when subject to transmission losses.

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