TITRE Adaptive Packet Video Streaming Over IP Networks - LaBRI

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Figure 5-19: MPEG-4 video packet loss ratio vs. network load with IP Best Effort Figure 5-20 shows the percentage of packets losses when the amount of background traffic is about 80% (6.5 Mbit/s) of the bandwidth. This leads to some losses essentially at time t=30s i.e. when the video server sends at its peak rate. The majority of the losses are concentrated within the base layer stream. This provides a degradation of the video quality at the client. Moreover, the receiver can’t decode properly the other elementary video streams without the good reception of the base layer. Loss increases dramatically when the network load increases (Figure 5-21). The high losses of the base layer are due to its highest requirement of bandwidth. We can compare it with a MPEG-2 video stream where I pictures are bigger than P and B pictures. However, they are much more important. In this case, I packet’s losses must be lower than the other packets types losses. When talking about MPEG-4, the base layer stream must have a low packet loss when the enhanced layers streams 1 and 2 must have a respectively increasing drop probability. 1 MPEG-4 Based Layer Stream -AF11 MPEG-4 Enhanced Layer Stream 1 -AF12 MPEG-4 Enhanced Layer Stream 2 -AF13 Packet Drop 0.8 % Packets Dropped (100%) 0.6 0.4 0.2 0 0 10 20 30 40 50 60 Time (s) Figure 5-20: Packet drops in Best Effort scenario. - network load 80% - 128
1 MPEG-4 Based Layer Stream -AF11 MPEG-4 Enhanced Layer Stream 1 -AF12 MPEG-4 Enhanced Layer Stream 2 -AF13 Packet Drop 0.8 % Packets Dropped (100%) 0.6 0.4 0.2 0 0 10 20 30 40 50 60 Time (s) Figure 5-21: Packet drops in Best Effort scenario. - network load > 95% With IP Diffserv, we can see that the video packet losses are almost equals to 0, and we have ensured that the base layer has no losses. Figure 5-22 and Figure 5-23 illustrate this fact. 1 MPEG-4 Based Layer Stream -AF11 MPEG-4 Enhanced Layer Stream 1 -AF12 MPEG-4 Enhanced Layer Stream 2 -AF13 Packet Drop 0.8 % Packets Dropped (100%) 0.6 0.4 0.2 0 35 40 45 50 55 60 Time (s) Figure 5-22: Packet drops in IP Diffserv.- network load 80% - 129
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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
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 and 140: mechanism associated with the Drop
Page 141 and 142: Figure 5-16: Packets loss with IP D
Page 143: 5.5.2.3 Experimental Results Figure
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
Page 191: This appendix presents structure ex
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