Abstract
Multiple description (MD) video coding can be used to reduce the detrimental effects caused by transmission over lossy packet networks. A number of approaches have been proposed for MD coding, where each provides a different tradeoff between compression efficiency and error resilience. How effectively each method achieves this tradeoff depends on the network conditions as well as on the characteristics of the video itself. This paper proposes an adaptive MD coding approach which adapts to these conditions through the use of adaptive MD mode selection. The encoder in this system is able to accurately estimate the expected end-to-end distortion, accounting for both compression and packet loss-induced distortions, as well as for the bursty nature of channel losses and the effective use of multiple transmission paths. With this model of the expected end-to-end distortion, the encoder selects between MD coding modes in a rate-distortion (R-D) optimized manner to most effectively tradeoff compression efficiency for error resilience. We show how this approach adapts to both the local characteristics of the video and network conditions and demonstrates the resulting gains in performance using an H.264-based adaptive MD video coder.
Highlights
Streaming video applications often require error-resilient video coding methods that are able to adapt to current network conditions and to tolerate transmission losses
This paper proposed end-to-end R-D optimized adaptive Multiple description (MD) mode selection for multiple description coding
Presented here is able to accurately predict the distortion experienced at the decoder taking into account both bursty packet losses and the use of multiple paths
Summary
Streaming video applications often require error-resilient video coding methods that are able to adapt to current network conditions and to tolerate transmission losses. These applications must be able to withstand the potentially harsh conditions present on best-effort networks like the Internet, including variations in available bandwidth, packet losses, and delay. Multiple description (MD) video coding is one approach that can be used to reduce the detrimental effects caused by packet loss on best-effort networks [1,2,3,4,5,6,7]. This paper proposes an adaptive MD coder which selects among MD coding modes in an end-to-end rate-distortion (R-D) optimized manner as a function of local video characteristics and network conditions.
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