Markov-modulated self-similar processes: MPEG coded video traffic modeler and synthesizer

Hai Liu, Nirwan Ansari, Yun Q. Shi

Research output: Contribution to conferencePaperpeer-review

3 Scopus citations

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 languageEnglish (US)
Pages1184-1188
Number of pages5
StatePublished - 1999
Event1999 IEEE Global Telecommunication Conference - GLOBECOM'99 - Rio de Janeiro, Braz
Duration: Dec 5 1999Dec 9 1999

Other

Other1999 IEEE Global Telecommunication Conference - GLOBECOM'99
CityRio de Janeiro, Braz
Period12/5/9912/9/99

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering
  • Global and Planetary Change

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