TITRE Adaptive Packet Video Streaming Over IP Networks - LaBRI

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[170] W.Lai, B.Christian, R.Tibbs, S.Berghe “Framework for Internet Traffic Engineering Measurement” Internet draft, Work in progress, November 2001. [171] V. Paxson, G. Almes, J. Mahdavi, M. Mathis “RFC: 2330 Framework for IP Performance Metrics”, May 1998. [172] “OpenLDAP software” available at http://www.openldap.org/ [173] L. Georgiadis, R. Guerin, V. Peris and R. Rajan “Efficient Support of Delay and Rate Guarantees in an Internet” in ACM SIGCOMM, volume 26, number 4, October 1996. [174] H. Yasuda and H.J.F. Ryan, “DAVIC and Interactive Multimedia Services”, IEEE Comm. Mag; vol. 36, n°9., Sept. 1998, pp. 137-143. [175] ISO/IEC 13818-6:1998 “Generic coding of moving pictures and associated audio information -- Part 6: Extensions for DSM-CC”, October 1998. [176] Singh, Schulzrine “Interworking between SIP/SDP and H.323”, the Internet Engineering Task Force (IETF), Work in progress. [177] H.Agrawal,R.R Roy, V.Palawat, A.Johnston, C.Agboh, D.Wang, H.Schulzrinne, K.Singh, J.Maeng, “SIP-H.323 Interworking”, the Internet Engineering Task Force (IETF), w ork in progress 2002. [178] T. Ahmed, “MPEG-4 DMIF Implementation in Java” Technical report, Master of CS, University of Versailles, France, Sept. 2000. Available at: http://www.prism.uvsq.fr/~tad/publication. [179] Sun Microsystems “Java Media Framework API” http://java.sun.com/products/javamedia/jmf/index.html [180] “Netdynamics Ressources available » at: http://www.dynamics.com/resources/downloads [181] Columbia University Resources: SIP User Agent Client available at: http://www.cs.columbia.edu/~kns10/ software/sipua/ [182] T. Berners-Lee, L. Masinter, M. McCahill “RFC: 1738 Uniform Resource Locators (URL)” Request for Comments, IETF, December 1994. [183] N. Bjorkman, A. Latour-Henner, A. Doria “The movement from monoliths to Component- Based Network Elements”, IEEE communications magazine, pp. 86-93, January 2001. [184] J. Huang “Parlay System and Network Management Working Group” tutorial at www.parlay.org, 2002. [185] Biswas J., Lazar A. A., Huard J-F, Lim K.,Mahjoub S., Pau L.-F, Suzuki M., Tortensson S., Wang W. and Weinstein S. “The IEEE P1520 Standards Initiative for Programmable Network Interfaces”, IEEE Communications Magazine, Vol. 36. No. 10, pp.64-70, October 1998 168
Appendix A A Appendix A: Overview of the MPEG-4 Framework A.1 Introduction MPEG-4 standard [22][23][24] is an emerging digital multimedia standard with associated protocols for representing, manipulating and transporting natural and synthetic multimedia content (i.e. audio, video and data) over a broad range of communication infrastructures. The MPEG-4 standard introduces a new technique of coding multimedia scenes called “object-based compression”. This technique allows the encoding of different audio-visual objects in the scene independently. The original characteristic of MPEG-4 is to provide an integrated object-oriented representation of multimedia content for the support of new ways of communication, access, and interaction with digital audiovisual data, and offering a common technical solution to various telecommunications, broadcast, and interactive services. MPEG-4 addressed a broad range of existing and emerging multimedia applications such as video on the Internet, multimedia broadcasting, content-based audiovisual database access, games, audiovisual home editing, advanced audiovisual communications and video over mobile networks. An MPEG-4 scene consists of one or more Audio Visual Objects (AVO), each of them is characterized by temporal and spatial information. The hierarchical composition of an MPEG-4 scene is depicted in Figure A-1. Each Video Object (VO) may be encoded in a scalable (multi-layer) or non scalable (single layer) form. A layer is composed of a sequence of a Group of Video-Object- Plane (GOV). A Video Object Plane (VOP) is similar to the MPEG-2 frame. VOP supports intra coded (I-VOP) temporally predicted (P-VOP) and bi directionally predicted (B-VOP). To reach the defined objective of MPEG-4 standard, a set of tools was defined in several recommendations of the standard. First, the media compression schemes are defined in the Visual [22] and the Audio [23] parts of the MPEG-4 framework. Every multimedia element to be compressed is presented as individual AVO. The combination of these elements is assured by the scene description language called Binary Format for Scenes (BIFS) defined in MPEG-4 Systems document [22]. The delivery of the media is defined in the Delivery Multimedia Integrated Framework (DMIF) [144], which is the part 6 of MPEG-4 specification. DMIF is actually the control plane of MPEG-4 Delivery layer. It allows applications to transparently access, retrieve, and view multimedia streams whether the source of the stream is located on a remote or local end-system. 169
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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
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When G is used as generator matrix,
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4.2.3 Performance Evaluation Intens
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0.3 0.25 our proposal classical app
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lost packet at the receiver. Conseq
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marking scheme. The server must be
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The video server adds audio-visual
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Marker (TR3CM) [131] to mark the ba
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VO1 VO2 AVO Scenario Audio BL EL1 E
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Throughput (Kbits) 3000 2500 2000 1
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Throughput (Kbits) 3000 2500 2000 1
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4000 3500 3000 2500 2000 1500 1000
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45 40 Original Quality Received Qua
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Chapter 5 5 A Dynamic Packet Video
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The TCM algorithm is based on a tok
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BEGIN Initialize the classification
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User Profile (Token Bucket) Traffic
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Page 137 and 138: • Filters: to put packets into cl
Page 139 and 140: mechanism associated with the Drop
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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: [154] W. Almesberger, J. H. Salim,
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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