Name
Abstract | ||
|---|---|---|
A significant discovery from this work is that although video traffic has complicated short- and long-range dependence in the time domain, the corresponding wavelet coefficients are no longer long-range dependent in the wavelet domain. Therefore, a “short-range” dependent process can be used to model video traffic in the wavelet domain. In this work, we develop such wavelet models for VBR video traffic. The strength of the developed wavelet models includes: (1) it provides a unified approach to model both long-range and short-range dependence in video traffic simultaneously, (2) it has the ability to reduce the temporal dependence so significantly that the wavelet coefficients can be modeled by either independent or Markov models, and (3) the model results in a computationally efficient method on generating high quality video traffic |
Year | DOI | Venue |
|---|---|---|
1998 | 10.1109/INFCOM.1998.659655 | INFOCOM |
Keywords | DocType | Volume |
video traffic modelling,markov models,wavelet transforms,variable bit rate,high quality video traffic,visual communication,long-range dependence,computational complexity,temporal dependence reduction,wavelet coefficients,vbr video traffic,wavelet domain,telecommunication traffic,markov processes,computationally efficient method,short-range dependent process,time domain | Conference | 1 |
ISSN | ISBN | Citations |
0743-166X | 0-7803-4383-2 | 12 |
PageRank | References | Authors |
0.83 | 10 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Sheng Ma | 1 | 1139 | 76.32 |
| Chuanyi Ji | 2 | 812 | 124.04 |