TITRE Adaptive Packet Video Streaming Over IP Networks - LaBRI

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<strong>Packet</strong> Transmission Delay (s) 0.11 0.1 0.09 0.08 0.07 0.06 0.05 0.04 0.03 Rate Controlled Audio AUDIO 0.02 0 20 40 60 80 100 120 140 Simulation Time (s) Scenario D Figure 4-37: End-to-end packet transmission delay 4.3.3.2.2 User Perceived Quality Peak Signal to Noise Ratio (PSNR) is an indicator of picture quality that is derived from the root mean squared error. The PSNR for a degraded N1 x N2 8-bit image f’ from the original image f is computed by the formula in Eq. 12: 255 PSNR = 20log10 (Eq. 12) N1−1 N2−1 1 2 ∑∑ [ f ( x, y) − f '( x, y) ] N N 1 2 x= 0 y= 0 In order the compute PSNR value, we should rebuild the received scene. By using ns2 trace file, we create the received MPEG-4 scene. The measured PSNR indicates the difference between the original and the received video sequence. Figure 4-38 shows comparison between the original and the received scene quality for scenarios (A, B, C, and D). As expected, and since there was no loss in scenario A and B, the received quality is the same as the original quality. In Scenario C and D, the degradation of the received quality is due to our adaptation mechanism which only sends pertinent object to the client. This PSNR measurement does not reflect the meaning of what the client received. Because in our case, the logo object is basically not send. This affects the PSNR value but for the end user it does not have any importance (in our assumption). Figure 4-23 presents some snapshot of the received video in scenario D. 106
45 40 Original Quality Received Quality 45 40 Original Quality Received Quality 35 35 30 30 PSNR Y (db) 25 20 15 PSNR Y (db) 25 20 15 10 10 5 5 0 30 40 50 60 70 80 90 Time (s) 0 30 40 50 60 70 80 90 Time (s) 45 40 Original Quality Received Quality 45 40 Original Quality Received Quality 35 35 30 30 PSNR Y (db) 25 20 15 PSNR Y (db) 25 20 15 10 10 5 5 0 30 40 50 60 70 80 90 Time (s) 0 30 40 50 60 70 80 90 Time (s) Figure 4-38: <strong>Video</strong> quality comparison for different scenario Received video at time t=39.88s (only the Base Layer of VO2) received video at time t=42.76s (All layers of VO1 and VO2) Received video at time t=60.04 s Received video at time t=63.88s (base layer of VO1 and VO2) (Base layer + Enhancement Layer of VO1 and VO2) Figure 4-39: Received video presentation 107
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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
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 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: 4000 3500 3000 2500 2000 1500 1000
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
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
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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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TITRE Adaptive Packet Video Streaming Over IP Networks - LaBRI

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