Joint source-channel video coding based on the optimization of end-to-end distortions

In this research, a JSCC (Joint Source-Channel Coding) video coding 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.