Multiple description video coding using coefficients ordering and interpolation
Image Communication
Multiple description video coding by coefficients ordering and interpolation
MobiMedia '06 Proceedings of the 2nd international conference on Mobile multimedia communications
Network resource allocation for competing multiple description transmissions
IEEE Transactions on Communications
Cross-layer wireless video adaptation: Tradeoff between distortion and delay
Computer Communications
Streaming of H.264 video using scalable multiple descriptions and rateless codes
ISWPC'10 Proceedings of the 5th IEEE international conference on Wireless pervasive computing
Nets4Cars/Nets4Trains'11 Proceedings of the Third international conference on Communication technologies for vehicles
Quality of data delivery in peer-to-peer video streaming
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP) - Special Issue on P2P Streaming
Multi-description multipath video streaming in wireless ad hoc networks
Image Communication
Adaptively post-encoding multiple description video coding
Neurocomputing
Flexible dual TCP/UDP streaming for H.264 HD video over WLANs
Proceedings of the 7th International Conference on Ubiquitous Information Management and Communication
Rate control for unbalanced multiple description video streaming
Image Communication
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This paper presents a distributed video streaming framework using unbalanced multiple description coding (MDC) and unequal error protection. In the proposed video streaming framework, two senders simultaneously stream complementary descriptions to a single receiver over different paths. To minimize the overall distortion and exploit the benefits of multipath transport when the characteristics of each path are different, an unbalanced MDC method for wavelet-based coders combined with a TCP-friendly rate allocation algorithm is proposed. The proposed rate allocation algorithm adjusts the transmission rates and the channel coding rates for all senders in a coordinated fashion to minimize the overall distortion. Simulation results show that the proposed unbalanced MDC combined with our rate allocation algorithm achieves about 1-6 dB higher peal signal-to-noise ratio compared to conventional balanced MDC when the available bandwidths along the two paths are different under time-varying network conditions.