Abstract
Markov modulated self-similar processes are proposed to model MPEG video sequences that can capture the LRD (Long Range Dependency) characteristics of video ACF (Auto-Correlation Function). An MPEG compressed video sequence is decomposed into three parts according to different motion/change complexity such that each part can individually be described by a self-similar process. Beta distribution is used to characterize the marginal cumulative distribution function (CDF) of each self-similar processes, and Markov chain is used to govern the transition among these three self-similar processes. Network cell loss rate using our proposed synthesized traffic is found to be comparable with that using empirical data as the source traffic.
| Original language | English (US) |
|---|---|
| Pages | 1184-1188 |
| Number of pages | 5 |
| State | Published - 1999 |
| Event | 1999 IEEE Global Telecommunication Conference - GLOBECOM'99 - Rio de Janeiro, Braz Duration: Dec 5 1999 → Dec 9 1999 |
Other
| Other | 1999 IEEE Global Telecommunication Conference - GLOBECOM'99 |
|---|---|
| City | Rio de Janeiro, Braz |
| Period | 12/5/99 → 12/9/99 |
All Science Journal Classification (ASJC) codes
- Electrical and Electronic Engineering
- Global and Planetary Change