| List of Figures List of Tables About the Author Acknowledgements Acronyms 1 Introduction 1.1 Why Scalable Internet Video on Demand Systems? 1.2 What is the Goal of this Book? 1.3 Outline of this Book 1.4 Who is this Book for? 2 Scalable Adaptive Streaming Architecture 2.1 Distributed Systems 2.2 Replication 2.2.1 Server-initiated Replication 2.2.2 Client-initiated Caching 2.3 Video Distribution System Terminology 2.3.1 Origin Server 2.3.2 Proxy Cache 2.3.3 Cache Replacement 2.3.4 Client 2.3.5 Logical Overlay 2.3.6 Video Object 2.3.7 Video on Demand (VoD) 2.4 Architecture 2.4.1 A Snapshot of Today's Internet Infrastructure 2.4.2 Advantages of Caching 2.4.3 VoD without Scalable Adaptive Streaming 2.4.4 System Scalability 2.4.5 Content Scalability 2.4.6 Combining System and Content Scalability 2.4.7 VoD with Scalable Adaptive Streaming Support 2.5 Scenario for Scalable Adaptive Streaming 2.6 An Example Application for Scalable Adaptive Streaming 3 Towards a Scalable Adaptive Streaming Architecture 3.1 Products 3.2 Standardization 3.2.1 IETF 3.2.2 DVB and DAVIC 3.3 Content Scalability-Scalable Encoded Video 3.3.1 Hierarchically Layer-encoded Video 3.3.2 Fine Granularity Scalability 3.3.3 Multiple Description Coding 3.3.4 Comparison of Layered Encoding Approaches 3.4 Congestion Control-TCP-friendliness 3.4.1 The Window-based Approach 3.4.2 The Rate-based Approach 3.5 Adaptive Streaming-Streaming Layer-encoded Video without Caches 3.6 System Scalability-Caches 3.6.1 Partial Caching of Video Objects 3.6.2 Time-based Partial Caching 3.6.3 Bandwidth-based Partial Caching 3.6.4 Disadvantages of Partial Video Caching 3.7 Reliable Transport into Caches 3.8 Cache Clusters 4 Quality Variations in Layer-encoded Video 4.1 What is the Relation between Objective and Subjective Quality? 4.2 Quality Metrics for Video 4.2.1 Existing Work on Quality Metrics for Layer-encoded Video 4.2.2 Objective Video Quality Assessment 4.3 Test Environment 4.3.1 Layer-encoded Video Format-SPEG 4.3.2 Test Generation-Full Control 4.3.3 Measurement Method-Stimulus Comparison 4.3.4 Test Application-Enforcing Time Constraints 4.4 Experiment 4.4.1 Scenario 4.4.2 Candidates …… 5 Retrabsnussion Scheduling 6 Polishing 7 Fair Share Claiming 8 Scalable TCP-friendly Video Distribution for Heterogeneous Clients 9 Improved Video Distribution in Today's Internet Appendix A:LC-RTP(Loss Collection RTP) Appendix B:Preliminary Subjective Assessment Appendix C:A Toolkit for Dynamically Reconfigurable Multimedia Distribution Systems References Index |
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