Statistical Multiplexing and Quality of Service Control of VBR Mpeg Video Sources

In this paper efficient modeling of VBR MPEG coded video sources is proposed by appropriately combining properties of frame and GOP layer signals. In particular, a Markov chain is presented for modeling the video activity, the states of which correspond to correlated AR models responsible for generating the I, P and B frames. Furthermore, an adaptive implementation of the AR coefficients is accomplished in cases that we are interested in video traffic prediction. Experimental results using long duration sequences are provided to indicate the good performance of the proposed modeling scheme.