Hurst parameter estimation of long-range dependent VER MPEG video traffic in ATM networks

Video is becoming the most important data in asynchronous transfer mode (AT M) networks. In ATM networks, image quality remains almost the same by enco ding a video signal at variable bit rates (VBRs). Moving picture experts gr oup (MPEG) video consists of three different frames: intra (I), predictive (P), and bidirectional (B). The important feature of VER MPEG video traffic is the long-range dependence (LRD) characteristic. To examine the LRD char acteristic of real MPEG video sequences, the Hurst parameter is employed. T his paper presents a wavelet method, a line length method, and a Fourier fi ltering method for Hurst parameter estimation and compares their performanc e of LRD analysis with various video data. The relationship between the Hur st parameter and parameters in fractal modeling is also investigated. (C) 2 001 Academic Press.