A gamma autoregressive video model on ATM networks

Several works have concluded that the number of cells per frame of variable bit-rate (VBR) video teleconference follows a gamma distribution. But few video models meet this characteristics. We propose a novel video model, called first-order autoregressive (AR) gamma sequence, in which random variabl...

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Bibliographic Details
Published in:IEEE transactions on circuits and systems for video technology 1998-04, Vol.8 (2), p.138-142
Main Authors: Xu, Sh, Huang, Z
Format: Article
Language:English
Subjects:
Applied sciences
Autoregressive processes
Communication system traffic control
Equations
Exact sciences and technology
Image processing
Information, signal and communications theory
Markov processes
Parameter estimation
Random variables
Signal processing
Telecommunication traffic
Telecommunications and information theory
Teleconferencing
Traffic control
White noise
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Summary:Several works have concluded that the number of cells per frame of variable bit-rate (VBR) video teleconference follows a gamma distribution. But few video models meet this characteristics. We propose a novel video model, called first-order autoregressive (AR) gamma sequence, in which random variables are marginally distributed as gamma variables. We give the definition of a GAR model and a simple realization method of GAR(1). Parameter estimation methods are studied, too. Simulation results show that our model can meet the characteristics of VBR video better than existing models.
ISSN:1051-8215
1558-2205
DOI:10.1109/76.664098