Modeling video sources for real-time scheduling
Multimedia Systems
An analysis of variable bit rate multiplexer using loss priorities
Computer Networks and ISDN Systems
Conference proceedings on Applications, technologies, architectures, and protocols for computer communications
On the characterization of VBR MPEG streams
SIGMETRICS '97 Proceedings of the 1997 ACM SIGMETRICS international conference on Measurement and modeling of computer 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)
Modeling full-length video using Markov-modulated Gamma-based framework
IEEE/ACM Transactions on Networking (TON)
Autoregressive video conference models
International Journal of Network Management
Content-based MPEG video traffic modeling
IEEE Transactions on Multimedia
Traffic models in broadband networks
IEEE Communications Magazine
Traffic modeling for telecommunications networks
IEEE Communications Magazine
Basic characteristics of variable rate video coding in ATM environment
IEEE Journal on Selected Areas in Communications
Modeling video traffic using M/G/∞ input processes: a compromise between Markovian and LRD models
IEEE Journal on Selected Areas in Communications
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
Motion-classified autoregressive modeling of variable bit rate video
IEEE Transactions on Circuits and Systems for Video Technology
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Full motion video traffic is envisaged to be a major source for Internet and broadband integrated services digital networks (B-ISDN). Accurate traffic models of full motion video are needed to design networks and improve video services. Auto-regressive process (AR) proves to be a viable modeling approach of full motion video. A considerable amount of effort on AR video modeling has been reported in the recent studies which need to be thoroughly investigated. The aim of this paper is: (1) to survey a number of AR models for full motion video; (2) to classify the models according to their properties and framework; (3) to compare and contrast the models based on their attributes: residual, coding scheme, capturing scene changes, number of parameters, level of modeling, and complexity; (4) to show the ability of these models to predict accurately different aspects of network performance; (5) to give recommendations that might be helpful in determining the appropriate model for full motion video based on the target application; (6) to give direction for future work on this important modeling scheme.