A gamma source model for full motion video using non-linear systems

Abstract

Among current video traffic models, Autoregressive (AR) processes have been extensively used as good representation of variable bit rate (VBR) video services, due basically to their simplicity and case of computation. Recently, an elegant approach to the modeling of teleconferencing video has been proposed by Zhang [1999]. This approach decomposes the traffic data into a linear combination of a number of chi-square sequences, each of which is obtained by passing a Gaussian AR process through a simple nonlinearity. In this paper, we first show that the model presented by Zhang is a special case of the general form of models represented by quadratic filters that are widely used in modern digital signal processing. Second, we extend Zhang's approach to model MPEG video traffic; an important full motion video source that exhibits dynamic and complex pattern. Specifically, we propose modeling MPEG video at GOP layer in ATM packet switching networks.