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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.
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Seitenzahl: 148
Veröffentlichungsjahr: 2014
Contents
Introduction
I.1. Video Traffic Modeling
I.2. About this book
1 Video Coding
1.1. Video coding
1.2. Video coding standards
1.3. Rate control
1.4. Summary
2 Video Traffic Modeling
2.1. The AR models
2.2. Models based on Markov processes
2.3. Self-similar models
2.4. Wavelet-based models
2.5. Other approaches
2.6. Video traffic models for layered scalable video
2.7. Video traffic models for three-dimensional video
2.8. Conclusion
3 Evaluation Of Video Traffic Models For H.264 AVC Video
3.1. Model implementation
3.2. Experimental setup
3.3. Frame size distribution and ACF comparisons
3.4. QoS evaluation
3.5. Conclusion
4 Evaluation Of Video Traffic Model For H.264 MVC Video
4.1. A video traffic model for MVC video
4.2. Experimental setup
4.3. Results
4.4. Conclusion
Conclusion
C.1. Research directions
Appendix
A.1. Q–Q plots for H.264 AVC video
A.2. ACF for H.264 AVC video
A.3. Q–Q plots for H.264 MVC video
A.4. ACF for H.264 MVC video
Glossary
Bibliography
Index
First published 2014 in Great Britain and the United States by ISTE Ltd and John Wiley & Sons, Inc.
Apart from any fair dealing for the purposes of research or private study, or criticism or review, as permitted under the Copyright, Designs and Patents Act 1988, this publication may only be reproduced, stored or transmitted, in any form or by any means, with the prior permission in writing of the publishers, or in the case of reprographic reproduction in accordance with the terms and licenses issued by the CLA. Enquiries concerning reproduction outside these terms should be sent to the publishers at the undermentioned address:
ISTE Ltd27-37 St George’s RoadLondon SW19 4EUUK
www.iste.co.uk
John Wiley & Sons, Inc.111 River StreetHoboken, NJ 07030USA
www.wiley.com
© ISTE Ltd 2014The rights of Savera Tanwir and Harry Perros to be identified as the authors of this work have been asserted by them in accordance with the Copyright, Designs and Patents Act 1988.
Library of Congress Control Number: 2014931737
British Library Cataloguing-in-Publication DataA CIP record for this book is available from the British LibraryISSN 2051-2481 (Print)ISSN 2051-249X (Online)ISBN 978-1-84821-636-5
There has been a phenomenal growth in video applications in the past few years. Today, most viewers receive digital television with high definition services and greater choice of channels. High definition DVDs, Blu-ray discs and video streaming, such as Amazon Instant, Netflix and Hulu, are increasing in popularity. An ever-increasing number of users upload and download videos using sites like YouTube. Recording and sharing of videos using mobile phones is widespread. Video calling over the Internet is commonplace with applications such as Skype and Facetime. Large businesses and organizations use video conferencing applications like Cisco’s TelePresence [TEL] and WebEx [WEB] for face-to-face collaboration across different geographic regions. According to a recent forecasting report by Cisco, all forms of video (TV, video on demand [VoD], Internet, and P2P) will be in the range of 80 to 90 percent of global consumer traffic by 2017. Every second, nearly a million minutes of video content will cross the network in 2017.
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