Video Traffic Prediction Based on Source Information and Preventive Channel Rate Decision for RCBR

Abstract

In this paper, we address the problem of dynamic bandwidth allocation in real-time video transmission. Firstly, a source traffic prediction method is proposed which is based on the rate-distortion relation of source video. This method can detect changes in the source traffic level before encoding by using source information. Secondly, a preventive channel rate decision algorithm, called PCRD, is proposed. The transmission rate bounds are derived from the constraints of the encoder and decoder buffers based on the predicted bit-rate of video frames. From simulation results, the proposed traffic prediction method is shown effective in detecting scene changes and estimating changed traffic levels. Also, the PCRD method is shown to have low renegotiation cost and high channel utilization without violating delay constraints.