Adaptive joint source/channel coding for robust video transmission

A robust video transmission technique that protects video signals adaptively against channel errors is proposed in this work. First, we develop a source model, which estimates the bit rate and the quantization error. Second, the encoder associates each packet with the mean square error between the error-free reconstruction and the concealed reconstruction. Third, the quantization parameter and the channel code rate are adaptively assigned to each packet so that the expected mean square error due to source and channel distortions is minimized subject to a constraint on the total transmission bit rate. Simulation results show that the proposed algorithm provides acceptable image quality in a high bit error rate environment.