A new multi-level statistical model for variable bit rate MPEG sources over ATM networks and its performance study
✍ Scribed by S.-J. Yoo; S.-D. Kim
- Publisher
- Elsevier Science
- Year
- 2001
- Tongue
- English
- Weight
- 318 KB
- Volume
- 24
- Category
- Article
- ISSN
- 0140-3664
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✦ Synopsis
In this paper, we propose a new traf®c model for MPEG-coded video sequences. The proposed modeling scheme uses scene-based traf®c characteristics and considers the correlations between frames of consecutive group of pictures (GOPs). Using a simple scene detection algorithm, scene changes are modeled 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 mean I, P, and B frame sizes of each state. For more accurate traf®c modeling, the residual bits that represent the difference between the original frame size and the mean frame size of each frame type are compensated by autoregressive processes. The modeling results show that our scene-based model can capture the statistical traf®c characteristics of the original video sequences well and estimate the queueing performance with good approximation quality.