Modeling and analysis of a variable bit rate video multiplexer
IEEE INFOCOM '92 Proceedings of the eleventh annual joint conference of the IEEE computer and communications societies on One world through communications (Vol. 2)
Analysis, modeling and generation of self-similar VBR video traffic
SIGCOMM '94 Proceedings of the conference on Communications architectures, protocols and applications
Modeling and simulation of self-similar variable bit rate compressed video: a unified approach
SIGCOMM '95 Proceedings of the conference on Applications, technologies, architectures, and protocols for computer communication
Signal processing with fractals: a wavelet-based approach
Signal processing with fractals: a wavelet-based approach
Simple and efficient models for variable bit rate MPEG video traffic
Performance Evaluation - Special issue on applied probability modelling in telecommunication
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)
Modeling one- and two-layer variable bit rate video
IEEE/ACM Transactions on Networking (TON)
A gamma-based framework for modeling variable-rate MPEG video sources: the GOP GBAR model
IEEE/ACM Transactions on Networking (TON)
Modeling heterogeneous network traffic in wavelet domain
IEEE/ACM Transactions on Networking (TON)
Self-Similar Network Traffic and Performance Evaluation
Self-Similar Network Traffic and Performance Evaluation
Video Processing and Communications
Video Processing and Communications
Statistical properties of MPEG video traffic and their impact on traffic modeling in ATM systems
LCN '95 Proceedings of the 20th Annual IEEE Conference on Local Computer Networks
INFOCOM '95 Proceedings of the Fourteenth Annual Joint Conference of the IEEE Computer and Communication Societies (Vol. 2)-Volume - Volume 2
Modeling full-length video using Markov-modulated Gamma-based framework
IEEE/ACM Transactions on Networking (TON)
Inference in Hidden Markov Models (Springer Series in Statistics)
Inference in Hidden Markov Models (Springer Series in Statistics)
The MPEG-4 fine-grained scalable video coding method for multimediastreaming over IP
IEEE Transactions on Multimedia
Modeling full-length VBR video using Markov-renewal-modulated TES models
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
Nested auto-regressive processes for MPEG-encoded video traffic modeling
IEEE Transactions on Circuits and Systems for Video Technology
Short Communication: Modeling multiplexed traffic from H.264/AVC videoconference streams
Computer Communications
Dynamic scheduling of a mixture of scalable IPTV and VoD traffic over wireless home networks
Proceedings of the 10th International Conference on Mobile and Ubiquitous Multimedia
Joint source and sending rate modeling in adaptive video streaming
Image Communication
Engineering Applications of Artificial Intelligence
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This paper presents a frame-level hybrid framework for modeling MPEG-4 and H.264 multi-layer variable bit rate (VBR) video traffic. To accurately capture long-range-dependent and short-range-dependent properties of VBR sequences, we use wavelets to model the distribution of I-frame sizes and a simple time-domain model for P/B frame sizes. However, unlike previous studies, we analyze and successfully model both inter-GOP (group of pictures) and intra-GOP correlation in VBR video and build an enhancement-layer model using cross-layer correlation. Simulation results demonstrate that our model effectively preserves the temporal burstiness and captures important statistical features (e.g., the autocorrelation function and the frame-size distribution) of original traffic. We also show that our model possesses lower complexity and has better performance than the previous methods in both single- and multi-layer sequences.