Scalable video on demand : adaptive Internet-based distribution / / Michael Zink

• Record Nr.: UNINA9911020355303321
• Autore: Zink Michael <1970->
• Pubbl/distr/stampa: Hoboken, N.J., : J. Wiley & Sons, c2005
• ISBN: 9781118691182; 1118691180; 9780470022702; 0470022701; 9780470022696; 0470022698
• Descrizione fisica: 1 online resource (292 p.)
• Disciplina: 006.7
• Soggetti: Streaming technology (Telecommunications); Video-on-demand; Internet television
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Note generali: Description based upon print version of record.
• Nota di bibliografia: Includes bibliographical references (p. [233]-244) and index.
• Nota di contenuto: Cover; Title Page; Contents; 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 Video3.3.1 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 Caches3.8 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; 4.4.3 Procedure; 4.4.4 Layer Patterns; 4.5 Results; 4.5.1 Same Number of Segments4.5.2 Different Number of Segments; 4.5.3 Sequence Size and Quality; 4.6 The Spectrum; 4.6.1 Comparison of the Spectrum with the Subjective Assessment Results and the PSNR; 4.7 Implications for MDC and FGS; 4.7.1 MDC; 4.7.2 FGS; 4.8 Summary; 5 Retransmission Scheduling; 5.1 Motivation; 5.1.1 Retransmission Time; 5.1.2 Retransmission Focus; 5.1.3 Scheduling Goals; 5.2 Optimal Retransmission Scheduling; 5.3 Heuristics for Retransmission Scheduling; 5.4 Viewer-centric Retransmission Scheduling; 5.4.1 Window-based Lowest Layer First (W-LLF); 5.4.2 Unrestricted Priority-based Heuristics
• Sommario/riassunto: In recent years, the proliferation of available video content and the popularity of the Internet have encouraged service providers to develop new ways of distributing content to clients. Increasing video scaling ratios and advanced digital signal processing techniques have led to Internet Video-on-Demand applications, but these currently lack efficiency and quality. Scalable Video on Demand: Adaptive Internet-based Distribution examines how current video compression and streaming can be used to deliver high-quality applications over the Internet. In addition to analysing the problems