Modeling 3D video traffic using a Markov modulated gamma process
- Resource Type
- Conference
- Authors
- Tanwir, Savera; Nayak, Debanjana; Perros, Harry
- Source
- 2016 International Conference on Computing, Networking and Communications (ICNC) Computing, Networking and Communications (ICNC), 2016 International Conference on. :1-6 Feb, 2016
- Subject
- Communication, Networking and Broadcast Technologies
Computing and Processing
Signal Processing and Analysis
Hidden Markov models
Markov processes
Three-dimensional displays
Solid modeling
Streaming media
Video coding
Quality of service
3D video
Multiview video
VBR video
Video traffic model
H.264 MVC
end-to-end delay
packet loss
jitter
- Language
Three-dimensional (3D) television and video streaming has become very popular over the last few years. Multiview encoded video is used to support 3D video applications. The statistical characteristics of multiview video are significantly different from the traditional single-view video and therefore existing video traffic models are no more applicable for this type of video. In this paper, we propose and evaluate a new model for multiview video that is based on a Markov process. To the best of our knowledge, there is only one other model for multiview video that has been proposed in the literature by Rossi et al. We compared the two models using Q-Q plots and the autocorrelation function of the frame sizes along with QoS metrics of the resulting packet traces estimated by simulation. The comparison results show that our model has less complexity and better accuracy.