Modeling and adaptive prediction of VBR MPEG video sources
Nikolaos D. Doulamis, Anastasios D. Doulamis, Stefanos Kollias · 1999
In this paper, efficient modeling of variable bit-rate (VBR) MPEG-coded video sources is proposed by appropriately combining properties of frame and GOP (group of pictures) layer signals. In particular, a Markov chain is presented for modeling the video activity and the states of which correspond to correlated autoregressive (AR) models that are responsible for generating the I (intra-frame), P (predictive) and B (bidirectionally predictive) frames. Furthermore, an adaptive implementation of the AR coefficients is accomplished in cases where we are interested in video traffic prediction.