Video Traces for Network Performance Evaluation
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1 Video Traces for Network Performance Evaluation A Comprehensive Overview and Guide on Video Traces and Their Utilization in Networking Research by PATRICK SEELING Arizona State University, AZ, U.S.A. FRANK H.P. FITZEK Aalborg University, Denmark and MARTIN REISSLEIN Arizona State University, AZ, U.S.A.
2 A C.I.P. Catalogue record for this book is available from the Library of Congress. ISBN X (HB) ISBN (HB) ISBN (e-book) ISBN (e-book) Published by Springer, P.O. Box 17, 3300 AA Dordrecht, The Netherlands. Printed on acid-free paper All Rights Reserved 2007 Springer No part of this work may be reproduced, stored in a retrieval system, or transmitted in any form or by any means, electronic, mechanical, photocopying, microfilming, recording or otherwise, without written permission from the Publisher, with the exception of any material supplied specifically for the purpose of being entered and executed on a computer system, for exclusive use by the purchaser of the work.
3 To Jody. Patrick To Sterica and Lilith. Frank To Jana and Tom. Martin v
4
5 Contents 1 Introduction... 1 Part I Digital Video 2 Introduction to Digital Video The Beginning of Moving Pictures Digital Picture and Video Representation VideoHierarchy Video Encoding DCT-BasedVideoEncoding Block Scanning Discrete Cosine Transformation Quantization Zig Zag Scanning Variable Length Coding Inter-frame Coding: Motion Estimation and Compensation Scalable Video Encoding Data Partitioning Temporal Scalability Spatial Scalability SNR Scalability Object Scalability Fine Granular Scalability (FGS) Multiple Description Coding (MDC) Wavelet-BasedVideoEncoding VideoCodingStandards vii
6 viii Contents Part II Video Traces and Statistics 4 Metrics and Statistics for Video Traces VideoFrameSize Autocorrelation Variance Time Test R/S Statistic Periodogram Logscale Diagram Multiscale Diagram Video Frame Quality Correlation between Video Frame Sizes and Qualities Additional Metrics for FGS Encodings Additional Metric for MDC Encodings Video Trace Generation Overview of Video Trace Generation and Evaluation Process Video Source VHS Video Source DVD Video Source YUV Test Sequences Video Source Pre-Encoded Video MDC Trace Generation Evaluation of MPEG-4 Encodings Single Layer Encoding Temporal Scalable Encoding Spatial Scalable Encoding Evaluation of H.264 Encodings Evaluation of MPEG-4 FGS Encodings Evaluation of Wavelet Video Traces Evaluation of Pre Encoded Content Evaluation of MDC Encodings Statistical Results from Video Traces Video Trace Statistics for MPEG-4 Encoded Video Examples from Silence of the Lambs Single Layer Encodings Videos and Encoder Modes for Evaluated MPEG-4 VideoTraces Single Layer Encoded Video Temporal Scalable Encoded Video Spatial Scalable Encoded Video Video Trace Statistics for H.264 Video Trace Files Video Trace Statistics for Preencoded Video Video Trace Statistics for Wavelet Encoded Video
7 Contents ix Analysis of Video Traffic Analysis of Video Quality Correlation Between Frame Sizes and Qualities Comparison Between Wavelet and MPEG-4 Encoded Video Video Trace Statistics for MPEG-4 FGS Encoded Video Video Trace Statistics for MDC Encoded Video Part III Applications for Video Traces 7 IP Overhead Considerations for Video Services Introduction and Motivation DataPlane Real Time Protocol (RTP) and User Datagram Protocol(UDP) Transmission Control Protocol (TCP) Internet Protocol (IP) Signaling Overhead Session Description Protocol (SDP) Session Announcement Protocol (SAP) Session Initiation Protocol (SIP) Real Time Streaming Protocol (RTSP) Real Time Control Protocol (RTCP) Header Compression Schemes Short Example for Overhead Calculation Using Video Traces for Network Simulations Generating Traffic from Traces Stream Level Issues Frame/Packet Level Issues Simulation Output Data Analysis Performance Metrics in Video Trace Simulations Estimating Performance Metrics Incorporating Transmission Errors into Simulations Using Video Traces VideoEncodingandDecoding Single Layer and Temporal Scalable Encoding Spatial and SNR Scalable Video Video Quality after Network Transport Single Layer and Temporal Scalable Video Spatial Scalable Video SNR Scalable Video Video Offset Distortion
8 x Contents Comparison of Rate Controlled and Non-Rate- Controlled Video Encoding forsingle-layer Video Comparison of Rate Controlled and Non-Rate- Controlled Video Encoding for Scalable Video Perceptual Considerations for Offset Distortions or Qualities Using Video Offset Distortion Traces Assessing the Video Quality After Network Transport UsingVideoTraces Available Tools Offset Distortion Influence on Simulation Results Single Layer Spatial Scalable Video Error-ProneandLostMDCDescriptors Tools for Working with Video Traces Using Video Traces with Network Simulators NS II Omnet Ptolemy II The VideoMeter Tool for Linux VideoMeter Usage Freeze File RMSE and PSNR Calculator MPEG-4 Frame Size Parser Offset Distortion Calculators Single Layers Spatial Scalability Outlook List of Abbreviations Acknowledgements References Index...267
Offset Trace-Based Video Quality Evaluation after Network Transport
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