A new multi-level statistical model for variable bit rate MPEG sources over ATM networks and its performance study

In this paper, we propose a new traffic model for MPEG-coded video sequence s. The proposed modeling scheme uses scene-based traffic characteristics an d considers the correlations between frames of consecutive group of picture s (GOPs). Using a simple scene detection algorithm, scene changes are model ed by a state transition matrix and the number of GOPs of a scene state is modeled by a geometric distribution. Frames of a scene are modeled by the m ean I, P. and B frame sizes of each state. For more accurate traffic modeli ng, the residual bits that represent the difference between the original fr ame size and the mean frame size of each frame type are compensated by auto regressive processes. The modeling results show that our scene-based model can capture the statistical traffic characteristics of the original video s equences well and estimate the queueing performance with good approximation quality. (C) 2001 Elsevier Science B.V. All rights reserved.