TITRE Adaptive Packet Video Streaming Over IP Networks - LaBRI

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Figure 5-13: Instantaneous queue size with IP Best Effort and Diffserv scenarios. Figure 5-14: Packets loss with IP Best Effort scenario. Figure 5-15: End-to-end packet transmission delay with Best Effort scenario 124
Figure 5-16: Packets loss with IP Diffserv scenario Figure 5-17: End-to-end packet transmission delay with IP Diffserv scenario 5.5.2 DVMA Performance Using Network Experiments Let is consider the IP network testbed depicted in Figure 4-6., where a server delivers an MPEG-4 video content to several heterogeneous receivers. The receiver can be a simple wired PC or any wireless terminals such as a mobile GSM/GPRS/UMTS phone capable of rendering MPEG-4 video sequences. The network nodes are IP Diffserv compliant routers. We use Linuxbased IP routers with Diffserv implementation. The testbed is composed of tow edge routers and a core router running Linux with IP Diffserv components. All Ethernet links are 10 Mb/s. Our IP Diffserv network testbed is composed of a video server application that plays MPEG- 4 video stream for many heterogeneous clients. The server and clients are connected through TCP/IP network. We exploit some test-scenario on the transmission process. We quantify QoS measurement and we compare between transmission process in Best Effort service and in Differentiated Service (with DVMA activated). 125
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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
Page 89 and 90: 190 180 170 End-to-end delay MPEG-4
Page 91 and 92: Sync Layer. The SL-packetized strea
Page 93 and 94: conveyed by MIME format parameters
Page 95 and 96: the same value. This timing informa
Page 97 and 98: 4.2.2.1 Fragmentation We propose to
Page 99 and 100: 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: mechanism associated with the Drop
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 and 152: Id Condition Indicator Action 1 Net
Page 153 and 154: The proposed marking algorithm bett
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
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This appendix presents structure ex
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