Circuits, Systems, and Signal Processing
Contributions toward real-time services on packet switched networks
Contributions toward real-time services on packet switched networks
A traffic for MPEG-coded VBR streams
Proceedings of the 1995 ACM SIGMETRICS joint international conference on Measurement and modeling of computer systems
An analysis of variable bit rate multiplexer using loss priorities
Computer Networks and ISDN Systems
The GBAR source model for VBR videoconferences
IEEE/ACM Transactions on Networking (TON)
A survey of statistical source models for variable-bit-rate compressed video
Multimedia Systems - Special issue on video content based retrieval
A gamma-based framework for modeling variable-rate MPEG video sources: the GOP GBAR model
IEEE/ACM Transactions on Networking (TON)
Traffic models in broadband networks
IEEE Communications Magazine
A gamma autoregressive video model on ATM networks
IEEE Transactions on Circuits and Systems for Video Technology
A general AR-based technique for the generation of arbitrary gamma VBR video traffic in ATM networks
IEEE Transactions on Circuits and Systems for Video Technology
Efficient modeling of VBR MPEG-1 coded video sources
IEEE Transactions on Circuits and Systems for Video Technology
Nested auto-regressive processes for MPEG-encoded video traffic modeling
IEEE Transactions on Circuits and Systems for Video Technology
Statistical analysis and simulation study of video teleconference traffic in ATM networks
IEEE Transactions on Circuits and Systems for Video Technology
VBR video traffic modeling and synthetic data generation using GA-optimized Volterra filters
International Journal of Network Management
A study of H.263 traffic modeling in multipoint videoconference sessions over IP networks
Computer Communications
A genetic approach to Markovian characterisation of H.264 scalable video
Multimedia Tools and Applications
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Statistical analysis and performance modeling of compressed video traffic streams are efficient tools to estimate network resources and to predict network behavior under various conditions. Among current video traffic models, Autoregressive (AR) processes have been extensively used as good representation of variable bit rate video services, due basically to their simplicity and ease of computation. Recently, an elegant approach to the modeling of teleconferencing video has been proposed by Zhang in IEEE Trans. Circuits Syst. Video Technol. 9 (1999) p. 1130. This approach decomposes the traffic data into a linear combination of a number of chi-square sequences, each of which is obtained by passing a Gaussian AR process through a simple non-linearity. In this article, we first show that the model presented by Zhang is a special case of the general form of models represented by quadratic filters that are widely used in modern digital signal processing. Second, we extend Zhang's approach to model MPEG video traffic; an important full motion video source that exhibits dynamic and complex pattern. Specifically, we propose modeling MPEG video at GOP layer in ATM packet switching networks. This layer has an important feature in that it reflects the behavior of video scene activities. Finally, by using a wide variety of real MPEG video sequences, we experimentally demonstrate that the proposed GOP-based model approximates the real video traffic extremely well in terms of first and second order statistics as well as queuing performance.