TITRE Adaptive Packet Video Streaming Over IP Networks - LaBRI

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Throughput (Kbits) 4500 4000 3500 3000 2500 2000 1500 1000 500 MPEG-4 0 FTP1 0 20 40 100 80 60 time (s) 120 Figure 4-29: Traffic throughput and fairness in scenario A In scenario B ( Figure 4-30), we have two FTP sources. The results show that the video stream is transmitted entirely and that the two FTP sources fairly share the remaining bandwidth. This gives a portion of 1.66 Mbit/s per flow since we have three streams. In this period, when the two FTP streams are active (30s-90s), the video stream consumes less than 1.66 Mbit/s, the remaining bandwidth is fairly shared with the two FTP sources. 1000 Audio Object 1000 VO1 BL VO1 EL1 VO1 EL2 800 800 Throughput (Kbits) 600 400 Throughput (Kbits) 600 400 200 200 0 0 20 40 60 80 100 120 time (s) 0 0 20 40 60 80 100 120 time (s) Audio Object Video Object 1 1000 VO2 BL VO2 EL1 VO2 EL2 1000 VO3 800 800 Throughput (Kbits) 600 400 Throughput (Kbits) 600 400 200 200 0 0 20 40 60 80 100 120 time (s) 0 0 20 40 60 80 100 120 time (s) Video Object 2 Video Object 3 100
Throughput (Kbits) 3000 2500 2000 1500 1000 500 MPEG-4 0 FTP1 FTP2 0 20 40 100 80 60 time (s) 120 Figure 4-30: Traffic throughput and fairness in scenario B Scenario D is interesting since we see the effect of our adaptation mechanism. We can see that the audio object is always present and that less important objects (respectively object layers) are not transmitted when the shared bandwidth is not sufficient. Our adaptation mechanism begins transmitting data from important audio-visual entity to less important. We can see that all the streams (FTP and video) fairly share the bandwidth. Scenario C confirms the previous result and shows the effect of our adaptation mechanism. A minimum of QoS is guaranteed by our adaptation mechanism. The network does not enter in congestion collapse since the video stream is aware of network condition. 1000 Audio Object 1000 VO1 BL VO1 EL1 VO1 EL2 800 800 Throughput (Kbits) 600 400 Throughput (Kbits) 600 400 200 200 0 0 20 40 60 80 100 120 time (s) 0 0 20 40 60 80 100 120 time (s) Audio Object Video Object 1 1000 VO2 BL VO2 EL1 VO2 EL2 1000 VO3 800 800 Throughput (Kbits) 600 400 Throughput (Kbits) 600 400 200 200 0 0 20 40 60 80 100 120 time (s) 0 0 20 40 60 80 100 120 time (s) 101
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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
Page 66 and 67: increased linearly in the absence o
Page 68 and 69: 3.2.2.1 End-to-End Retransmission R
Page 70 and 71: correctly received block. The missi
Page 72 and 73: epresent user traffic. The delay ca
Page 74 and 75: 3.2.5 IP Signaling Protocols for Pa
Page 76 and 77: two H.323 endpoints or between an e
Page 79 and 80: Chapter 4 4 Adaptive Packet Video T
Page 81 and 82: 4.1.1 Video Classification Model Pr
Page 83 and 84: attributes can refer to the QoS par
Page 85 and 86: In RBF, 2 D = X − is the distance
Page 87 and 88: 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: VO1 VO2 AVO Scenario Audio BL EL1 E
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 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
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1. Set the result C to the empty se
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TCP/UDP port, our implementation us
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Control & Data Plan Video Rate Cont
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characteristics and relevance of ea
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References [1] Kazaa Media Desktop
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[43] B. Schuster, “Fine granular
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[79] D. Bansal and H. Balakrishnan,
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[115] N. Laoutaris, I. Stavrakakis,
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[154] W. Almesberger, J. H. Salim,
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Appendix A A Appendix A: Overview o
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Media aware Delivery unaware ISO/IE
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A.3.3 Scene Description Streams Sce
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This appendix presents structure ex
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