On Proxy-Caching Mechanisms for Cooperative Video Streaming in Heterogeneous Environments
MMNS '02 Proceedings of the 5th IFIP/IEEE International Conference on Management of Multimedia Networks and Services: Management of Multimedia on the Internet
Modeling MPEG VBR video traffic using type-2 fuzzy logic systems
Granular computing
Modeling full-length video using Markov-modulated Gamma-based framework
IEEE/ACM Transactions on Networking (TON)
Computer Networks: The International Journal of Computer and Telecommunications Networking
A new model for video traffic originating from multiplexed MPEG-4 videoconference streams
Performance Evaluation
Adaptive edge-oriented shot boundary detection
Journal on Image and Video Processing
A comparison of AR full motion video traffic models in B-ISDN
Computers and Electrical Engineering
Modeling and generation of AVC and SVC-TS mobile video traces for broadband access networks
MMSys '10 Proceedings of the first annual ACM SIGMM conference on Multimedia systems
Short Communication: Modeling multiplexed traffic from H.264/AVC videoconference streams
Computer Communications
Modeling and resource allocation for mobile video over WiMAX broadband wireless networks
IEEE Journal on Selected Areas in Communications
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
Adaptation of multimedia resources supported by metadata
Journal of Web Engineering
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
Predictive and measurement-based dynamic resource management and QoS control for videos
Computer Communications
Parlay X web services for policy and charging control in multimedia networks
Advances in Multimedia
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In this paper, we propose a video model to generate VBR MPEG video traffic based on the scene content description. Long sessions of nonhomogeneous video clips are decomposed into homogeneous video shots. The shots are then classified into different classes in terms of their texture and motion complexity. Each shot class was uniquely described with an autoregressive model. Transitions between the shots and their durations have been analyzed. Unlike many classical video source models, this model may be used to generate traffic of any type of video scenes ranging from a low complexity video conferencing to a highly active sport program. The performance of the model is evaluated by measuring the mean cell delay when the generated video traffic is fed to an ATM multiplex buffer