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.
| Introduction |
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1.2 Video coding standards |
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1.2.1 The MPEG video coding standard |
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Chapter 2 Video Traffic Modeling |
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2.1.1 Review of the AR process |
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2.1.2 Survey of AR video traffic models |
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2.2 Models based on Markov processes |
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2.2.1 Review of Markov process models |
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2.2.2 Survey of Markov process models |
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2.3.1 A survey of self-similar models for video traffic |
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2.4.1 Survey of wavelet-based video traffic models |
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2.6 Video traffic models for layered scalable video |
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2.7 Video traffic models for three-dimensional video |
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2.7.1 A video traffic model for MVC video |
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Chapter 3 Evaluation of Video Traffic Models for H.264 AVC VIDEO |
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3.1.2 A frame-based AR(2) model |
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3.1.3 A Markov-modulated gamma model |
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3.3 Frame size distribution and ACF comparisons |
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3.4.4 The simulation model |
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Chapter 4 Evaluation of Video Traffic Model for H.264 MVC Video |
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4.1 A video traffic model for MVC video |
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4.3.1 Q--Q plots and ACF comparisons |
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| Conclusion |
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| Appendix |
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| Glossary |
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| Bibliography |
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| Index |
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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.
Lisainfo e-raamatute kohta