Autoregressive video conference models
International Journal of Network Management
A new model for video traffic originating from multiplexed MPEG-4 videoconference streams
Performance Evaluation
ICIC'06 Proceedings of the 2006 international conference on Intelligent Computing - Volume Part I
On modeling video traffic from multiplexed MPEG-4 videoconference streams
NEW2AN'06 Proceedings of the 6th international conference on Next Generation Teletraffic and Wired/Wireless Advanced Networking
AR-based quadratic modeling for GOP MPEG-encoded video traffic in ATM networks
Computer Communications
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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