In this research, a JSCC (jointsource-channelcoding) videocoding system based on the optimization of end-to-end distortions is proposed. To this end, a model describing the rate and distortion of video contents in ...
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ISBN:
(纸本)9783540682974
In this research, a JSCC (jointsource-channelcoding) videocoding system based on the optimization of end-to-end distortions is proposed. To this end, a model describing the rate and distortion of video contents in the error-prone environment is established and estimated. Based on the constructed models, the proposed system is capable of controlling coding parameters, such as channel code rate, quantization parameters, and number of packets, adaptively in accordance with the channel condition and bit rate budge, to optimize the quality of received video at decoder side. Experimental results show that our proposed JSCC system can improve PSNR by up to 5 dB, with respect to the traditional EEP (Equal error protection) technique.
Recently, several error resilient schemes have been proposed to tackle the error propagation problem in the motion-compensated predictive videocoding based on a promising technique-distributed sourcecoding (DSC). Ho...
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Recently, several error resilient schemes have been proposed to tackle the error propagation problem in the motion-compensated predictive videocoding based on a promising technique-distributed sourcecoding (DSC). However, these schemes mainly apply the distributed source codes for channel error correction, while under-utilizing their capability for data compression. A channel-aware joint source-channel video coding scheme based on DSC is proposed to eliminate the error propagation problem in predictive videocoding in a more efficient way. It is known that near Slepian-Wolf bound DSC is achieved using powerful channel codes, assuming the source and its reference (also known as side-information) are connected by a virtual error-prone channel. In the proposed scheme, the virtual and real error-prone channels are fused so that a unified single channel code is applied to encode the current frame thus accomplishing a jointsource-channelcoding. Our analysis of the rate efficiency in recovering error propagation shows that the joint scheme can achieve a lower rate compared with performing source and channelcoding separately. Simulation results show that the number of bits used for recovering from error propagation can be reduced by up to 10% using the proposed scheme compared to Sehgal-Jagmohan-Ahuja's DSC-based error resilient scheme.
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