VBR Video Traffic Models

There has been a phenomenal growth in video applications over the past few years. An accurate traffic model of Variable Bit Rate (VBR) video is necessary for performance evaluation of a network design and for generating synthetic traffic that can be used for benchmarking a network. A large number of models for VBR video traffic have been proposed in the literature for different types of video in the past 20 years. Here, the authors have classified and surveyed these models and have also evaluated the models for H.264 AVC and MVC encoded video and discussed their findings.

Savera Tanwir, Computer Science Department at North Carolina State University, USA.

Harry Perros is a distinguished Graduate Professor in the Computer Science Department at North Carolina State University, USA.

1. Introduction

a. Video coding

b. Rate control

c. Video coding standards

d. Summary

2. Video traffic modeling

a. The autoregressive models

b. Models based on Markov processes

c. Self-similar models

d. Wavelet based models

e. Other approaches

f. Video traffic models for H.264 SVC

g. Video traffic models for 3D video

3. An evaluation of video traffic models

a. Evaluation of video traffic models for H.264 AVC

b. Evaluation of video traffic models for H.264 MVC

4. Conclusion and research directions

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VBR Video Traffic Models

Summary

Author Biography

Table of Contents

Supplemental Materials