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9781608070510

3D and HD Broadband Video Networking

by
  • ISBN13:

    9781608070510

  • ISBN10:

    1608070514

  • Format: Hardcover
  • Copyright: 2010-07-31
  • Publisher: Artech House
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Supplemental Materials

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Summary

Recent years have seen an exponential increase in video and multimedia traffic transported over the Internet and broadband access networks. This timely resource addresses the key challenge facing many service providers today: effective bandwidth management for supporting high-quality video delivery. Written by a recognized expert in the field, this practical book describes ways to optimize video transmission over emerging broadband networks. Moreover, the book explores new wireless access networks that can enable video connectivity both inside and outside the residential premise.

Author Biography

Benny Bing is a research faculty member with the Georgia Institute of Technology. He has published over 80 technical papers, 11 books, and holds 6 pending patents. He led a team that received the NAB Technology Innovation Award in 2010. He is the founder of a startup focused on enriching and delivering next-generation video entertainment and Services. He is an editor for IEEE Wireless Communications, an IEEE senior member, and an IEEE Communications Society Distinguished Lecturer.

Table of Contents

Prefacep. xiii
Empowering High-Quality Digital Video Deliveryp. 1
Wither the Set-Top Box and Digital Video Recorder?p. 1
The Rise of HD and 3D Videop. 2
Video Content Distributionp. 3
Content Quality versus Video Qualityp. 7
Multiscreen Videop. 9
Mobile Videop. 11
Streaming Protocolsp. 13
The User-TV Interfacep. 14
Conclusionsp. 14
Referencesp. 15
Exercisesp. 15
The Access and Home Networksp. 19
Introductionp. 19
IPTV over DSLp. 22
Broadband Cable Networksp. 22
DOCSIS Standardp. 23
Switched Cable Servicesp. 25
Transport and Streaming Protocolsp. 29
Real-Time Transport Protocolp. 29
Real-Time Transport Control Protocolp. 29
Real-Time Transport Streaming Protocolp. 29
Real-Time Messaging Protocolp. 30
TCP and HTTPp. 31
TCP Operation in an Access Networkp. 32
UDP Operation in an Access Networkp. 33
Optimizing TCP Operation on the Internetp. 33
Optimizing Transport Protocols for Video Streamingp. 34
Link Quality Measurementp. 34
MPEG Video Encapsulationp. 37
IP Multicastp. 39
Mechanismsp. 40
Internet Group Management Protocolp. 41
Multicast Routing Protocolsp. 41
Challenges for Multicast Access Networksp. 42
Peer-to-Peer Multicastp. 43
Robust Peer-to-Peer Video Streamingp. 45
Quality of Experience versus Quality of Servicep. 46
Packet Losses versus Packet Errorsp. 46
Codec Lossesp. 46
Network Coding and Fountain Codesp. 47
Free Video Previews and Video Pausingp. 47
Home Entertainment Networksp. 48
Display Technologiesp. 48
High-Speed Digital Interfacesp. 49
Emerging Wireless Home Network Standardsp. 49
The Metro Network and Broadband Convergencep. 50
Provider Backbone Bridgesp. 51
Provider Backbone Bridge Traffic Engineeringp. 51
Carrier-Class Ethernet OAM Toolsp. 51
Next-Generation Network Migrationp. 52
Conclusionsp. 53
Referencesp. 54
Selected Bibliographyp. 54
Exercisesp. 55
Video Fundamentalsp. 57
Display Resolution and Visual Qualityp. 57
Serial Digital Interfacep. 58
Video Compressionp. 58
Video Containersp. 60
Advanced Audio Codingp. 61
H.264 and VC-1 Standardsp. 62
H.264 Architecturep. 63
Video Coding and Network Abstraction Layersp. 65
VCL and NAL Packetizationp. 66
An RFC 3984 H.264 Transport Frameworkp. 67
Fundamental H.264 and VC-1 Benefitsp. 69
Spatial, Temporal, and Bit Rate Scalabilityp. 69
Error Resiliencep. 70
Error Concealmentp. 72
H.264 versus MPEG-2, VC-1, and VP8p. 74
Entropy Codingp. 74
Block Sizep. 75
In-Loop Deblockingp. 75
Motion Compensation, Estimation, and Predictionp. 76
Multiple Reference Framesp. 78
Multiview Codingp. 79
Efficient Video Network Transportp. 79
Dealing with Packet Corruptionp. 80
Selective Information Droppingp. 80
Impact on Perceived Video Qualityp. 82
H.264 Encoding Parametersp. 83
Quantizationp. 84
Video Delivery Platformsp. 86
Online versus PayTV Viewingp. 87
Video Quality Assessmentp. 87
Subjective versus Objective Metricsp. 88
Peak Signal to Noise Ratiop. 89
Structural Similarity Indexp. 91
Czenakowski Distance (CZD)p. 91
Observable versus Perceptual Visual Artifactsp. 92
CBR versus VBR Encodingp. 93
Scalable Video Codingp. 97
Conclusionsp. 98
Referencesp. 98
Exercisesp. 99
The H.264 Standardp. 105
Profiles and Levelsp. 105
CABAC versus CAVLCp. 109
CABAC and CAVLC under VBR Modep. 110
CABAC and CAVLC under CBR Modep. 111
Rate Distortion Optimizationp. 112
RDO under VBRp. 113
RDO under CBRp. 113
Flexible Macroblock Orderingp. 115
Overheadsp. 116
FMO Operating under CBRp. 119
Conclusionsp. 119
Referencesp. 120
Exercisesp. 121
Short-Term H.264 Bandwidth Predictionp. 123
Introductionp. 123
Statistical Characteristics of H.264 Coded Videosp. 125
Problem Formulationp. 127
Traffic Model for B Frame Size Predictionp. 130
Results and Discussionp. 132
Model Enhancementsp. 134
Results and Discussionp. 136
Traffic Model for GOP Size Predictionp. 137
Model Enhancement with Predicted Scene Change Defectorp. 139
SAD Method for Scene Change Detection and Adaptationp. 141
Conclusionsp. 143
Referencesp. 143
Exercisesp. 144
Long-Term H.264 Bandwidth Predictionp. 145
Introductionp. 145
Long-Range Dependency and Hurst Parameterp. 146
Model Formulationp. 150
Impact of Video Quality and Video Coding Standardp. 153
Impact of Different QP Valuesp. 153
Impact of Using the Same QP Valuep. 155
Global Comparison of MPEG-2 and H.264p. 156
Impact of Multiplexing H.264 Videosp. 156
Conclusionsp. 157
Referencesp. 158
Appendix: Traffic Modelingp. 158
Exercisesp. 160
Lossless FMO Removal for H.264 Videosp. 163
Introductionp. 163
FMO Removalp. 164
Visual Quality Performance Evaluationp. 168
Using Multiple Slicesp. 169
Overheadsp. 170
Conclusionsp. 174
Referencesp. 175
Error Concealment Methods for Improving Video Qualityp. 177
Introductionp. 177
Error Concealment for HD Videosp. 178
Resultsp. 180
FMO Overheadsp. 183
Error Concealment for SD Videosp. 183
Temporal Error Concealmentp. 183
Algorithmp. 184
Performance Evaluationp. 185
Conclusionsp. 186
Exercisesp. 187
Video Traffic Smoothing and Multiplexingp. 189
Introductionp. 189
Basics of Video Smoothingp. 190
A Video Smoothing Algorithmp. 193
Live HD Video Streamingp. 195
Raw Streamingp. 197
Progressive Streamingp. 198
Frame Smoothed Streamingp. 198
Impact of Player's Buffer Sizep. 199
Impact of Transport Protocolsp. 200
Peak to Average Ratep. 204
Multiplexing of Composite VBR Videosp. 208
Conclusionsp. 214
Referencesp. 215
Exercisesp. 215
Intelligent Policy Resource Managementp. 219
Introductionp. 219
Policy-Based Approach to Bandwidth Managementp. 220
Scheduling Methodsp. 221
Surplus Bandwidthp. 221
Intelligent Resource Management (IRM)p. 222
Performance Analysisp. 224
OPNET Simulation Setup for a Cable Networkp. 224
Dynamic Bandwidth Limitationp. 224
Implementation and Measured Resultsp. 226
Conclusionsp. 229
Referencesp. 229
Appendix: Optimized MAP Throughputp. 230
Exercisesp. 232
Supporting Compressed Video Applications over DOCSIS Cable Networksp. 233
Introductionp. 233
Measured Performance of a DOCSIS Cable Networkp. 234
Experimental Setupp. 235
Measured Resultsp. 235
A QoS Model for the CMTS Schedulerp. 238
Peer-to-Peer File Sharingp. 239
Real-Time Peer-to-Peer Streamingp. 240
Video-Aware DOCSIS 3.0 Architecturep. 244
Program Scheduling Challengesp. 244
Simulation Model and Resultsp. 246
Conclusionsp. 249
Referencesp. 249
Exercisesp. 250
Intelligent Activity Detection Techniques for Advanced Video Surveillance Systemsp. 251
Introductionp. 251
System Overviewp. 252
Suspicious Activity Detectionp. 252
Human Fall Detectionp. 254
Experimental Resultsp. 256
Suspicious Activity Detectionp. 256
Human Fall Detectionp. 258
Shadow Removal Enhancementp. 259
Conclusionsp. 261
Referencesp. 261
Hand Gesture Control for Broadband-Enabled HDTVs and Multimedia PCsp. 263
Introductionp. 263
Related Workp. 264
Gesture Matching Methodsp. 266
Motion Pattern Matchingp. 266
Skin Color Matching and Fourier's Descriptorsp. 268
Using H.264 Motion Vectors for Motion Trackingp. 270
Histogram Matching for Trajectory Recognitionp. 272
Hand Tracking for Mouse Cursor Controlp. 274
Trajectory Formation Using Motion Historyp. 277
Using the Global Motion Vector to Track Trajectoryp. 277
Scrolling When User is Located at Varying Distancesp. 278
Experimental Setupp. 280
Comparison of Trajectory Tracking Methodsp. 280
Hand Reference Extraction Using a Stereo 3D Webcamp. 281
Conclusionsp. 282
Referencesp. 283
Glossaryp. 285
About the Authorp. 291
Indexp. 293
Table of Contents provided by Ingram. All Rights Reserved.

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