TITRE Adaptive Packet Video Streaming Over IP Networks - LaBRI

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1600 Video Stream 1400 1200 Throughput (Kbit/s) 1000 800 600 400 200 0 0 20 40 60 80 100 120 140 160 180 200 Time (s) Figure 5-31: Received video traffic 1600 1400 Gold Video Stream Silver Video Stream Bronze Video Stream 1200 Throughput (Kbit/s) 1000 800 600 400 200 0 0 20 40 60 80 100 120 140 160 180 Time (s) Figure 5-32: Different PHB color of the received video 5.6 Conclusion In this chapter we have proposed a video packet marking algorithm called DVMA. DVMA is designed and integrated in a QoS effective IP video delivery framework. Performance results have shown that two sensitive QoS parameters have been sensibly improved during network overload: video packet loss and end-to-end video packet transmission delay. 136
The proposed marking algorithm better takes into account the characteristics and relevance of MPEG-4 sub streams (audio, video, BIFS, OD signaling…) and performs well with Assured Forwarding IP Diffserv PHB. Consequently, sensitive video streams will undergo a privileged processing by the routers using our proposed transport delivery service. The problem of DVMA is it static behavior. To overcome this limit we proposed a dynamic packet video marking that can be used to mark the video traffic according to network state. Our proposal uses network monitoring feedback and policy decision point. The collected monitoring information is used to manage and to adapt dynamically QoS parameters for user traffic by changing the marking strategy. The example configuration rules described in our testbed clearly demonstrate the advantage of using our proposed algorithm. Our system involves a policy-based management system to achieve a more dynamic network behavior in handling user traffic. Several issues arise when using dynamic control decisions to handle out-of-profile traffic. One problem is the pricing and charging schemes in use: Who pays for the service (out-of-profile traffic), the sender or the receiver? More work has to be done in order to define accurately the amount of traffic that excesses the profile in order to establish a payment scheme. Also, time-scale measurement of the PDP response is important and should be evaluated in future work. 137
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UNIVERSITÉ DE VERSAILLES SAINT-QUE
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Résumé Nous constatons aujourd’
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3 Related Work ....................
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5.5.1.2 Simulation Results.........
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List of Figures Figure 1-1: Structu
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Figure 5-15: End-to-end packet tran
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Acknowledgments The first person I
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[11] Toufik Ahmed, Guillaume Burida
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d’accès. Les interactions de QoS
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Métrique MAX_DELAY PREF_MAX_DELAY
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1.1.2 Proposition dun Protocole d'E
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des paquets RTP. Reste toujours le
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Nous pouvons distinguer trois possi
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1.1.2.5.2 Multiplexage des Flux El
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l’horloge est par défaut égale
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La valeur R TCP représente le déb
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Pour ces raisons, nous nous intére
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Telles que illustrés par la Figure
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3. DMIF2SIP vérifie si son propre
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utilisée optionnellement pour loca
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Chapter 2 2 Introduction 2.1 Motiva
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conditions. Based on end-to-end fee
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Chapter 3 3 Related Work Nowadays,
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• multicasting: it takes the stre
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expensive, fixed delivery and recep
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3.1.6 Static vs. Dynamic Channels T
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environment because they require a
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H.261 is called video codec for aud
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VideoScene (VS) VideoObject (VO) Vi
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The emphasis of MPEG-7 will be the
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Temporal scalability involves parti
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multitude of streams. It can switch
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increased linearly in the absence o
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3.2.2.1 End-to-End Retransmission R
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correctly received block. The missi
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epresent user traffic. The delay ca
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3.2.5 IP Signaling Protocols for Pa
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two H.323 endpoints or between an e
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Chapter 4 4 Adaptive Packet Video T
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4.1.1 Video Classification Model Pr
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attributes can refer to the QoS par
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In RBF, 2 D = X − is the distance
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Figure 4-6: Experiment testbed In t
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190 180 170 End-to-end delay MPEG-4
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Sync Layer. The SL-packetized strea
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conveyed by MIME format parameters
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the same value. This timing informa
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4.2.2.1 Fragmentation We propose to
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Timestamp: Indicates the sampling i
Page 101 and 102: When G is used as generator matrix,
Page 103 and 104: 4.2.3 Performance Evaluation Intens
Page 105 and 106: 0.3 0.25 our proposal classical app
Page 107 and 108: lost packet at the receiver. Conseq
Page 109 and 110: marking scheme. The server must be
Page 111 and 112: The video server adds audio-visual
Page 113 and 114: Marker (TR3CM) [131] to mark the ba
Page 115 and 116: VO1 VO2 AVO Scenario Audio BL EL1 E
Page 117 and 118: Throughput (Kbits) 3000 2500 2000 1
Page 119 and 120: Throughput (Kbits) 3000 2500 2000 1
Page 121 and 122: 4000 3500 3000 2500 2000 1500 1000
Page 123 and 124: 45 40 Original Quality Received Qua
Page 125 and 126: Chapter 5 5 A Dynamic Packet Video
Page 127 and 128: The TCM algorithm is based on a tok
Page 129 and 130: BEGIN Initialize the classification
Page 131 and 132: User Profile (Token Bucket) Traffic
Page 133 and 134: 5.3.3 QoS Management Algorithm Spec
Page 135 and 136: Figure 5-7: Hierarchical aggregatio
Page 137 and 138: • Filters: to put packets into cl
Page 139 and 140: mechanism associated with the Drop
Page 141 and 142: Figure 5-16: Packets loss with IP D
Page 143 and 144: 5.5.2.3 Experimental Results Figure
Page 145 and 146: 1 MPEG-4 Based Layer Stream -AF11 M
Page 147 and 148: 0.2 0.18 MPEG-4 Based Layer Stream
Page 149 and 150: By using our PBNM tool, we allocate
Page 151: Id Condition Indicator Action 1 Net
Page 155 and 156: Chapter 6 6 A SIP/MPEG-4 Multimedia
Page 157 and 158: performed by many ways like SLA (Se
Page 159 and 160: 6.1.1.4 SIP Communication Model SIP
Page 161 and 162: • It assign a value (network sess
Page 163 and 164: 6.2.1 SIP2DMIF Subsystem The SIP2DM
Page 165 and 166: Step 1: The MPEG-4 Terminal passes
Page 167 and 168: 1. Set the result C to the empty se
Page 169 and 170: TCP/UDP port, our implementation us
Page 171 and 172: Control & Data Plan Video Rate Cont
Page 173 and 174: characteristics and relevance of ea
Page 175 and 176: References [1] Kazaa Media Desktop
Page 177 and 178: [43] B. Schuster, “Fine granular
Page 179 and 180: [79] D. Bansal and H. Balakrishnan,
Page 181 and 182: [115] N. Laoutaris, I. Stavrakakis,
Page 183 and 184: [154] W. Almesberger, J. H. Salim,
Page 185 and 186: Appendix A A Appendix A: Overview o
Page 187 and 188: Media aware Delivery unaware ISO/IE
Page 189 and 190: A.3.3 Scene Description Streams Sce
Page 191: This appendix presents structure ex
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