On the characterization of VBR MPEG streams

Marwan Krunz, Satish K. Tripathi

Research output: Contribution to journalConference article

98 Scopus citations

Abstract

We present a comprehensive model for variable-bit-rate MPEG video streams. This model captures the bit-rate variations at multiple time scales. Long-term variations are captured by incorporating scene changes, which are most noticeable in the fluctuations of I frames. The size of an I frame is modeled by the sum of two random components: a scene-related component and an AR(2) component that accounts for the fluctuations within a scene. Two random processes of i.i.d. rvs are used to model the sizes of P and B frames, respectively. The complete model is then obtained by intermixing the three sub-models according to a given GOP pattern. It is shown that the composite model exhibits long-range dependence (LRD) in the sense that its autocorrelation function is non-summable. The LRD behavior is caused by the repetitive GOP pattern which induces periodic cross-correlations between different types of frames. Using standard statistical methods, we successfully fit our model to several empirical video traces. We then study the queueing performance for video traffic at a statistical multiplexer. The results show that the model is sufficiently accurate in predicting the queueing performance for real video streams.

Original languageEnglish (US)
Pages (from-to)192-202
Number of pages11
JournalPerformance Evaluation Review
Volume25
Issue number1
DOIs
StatePublished - Jan 1 1997
EventProceedings of the 1997 ACM Sigmetrics International Conference on Measurement and Modeling of Computer Systems - Seattle, WA, USA
Duration: Jun 15 1997Jun 18 1997

ASJC Scopus subject areas

  • Software
  • Hardware and Architecture
  • Computer Networks and Communications

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