2002
DOI: 10.1007/3-540-47906-6_45
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Optimal Feedback for Quality Source-Adaptive Schemes in Multicast Multi-layered Video Environments

Abstract: Abstract. Current quality source-adaptive schemes for multicast multilayered video rely on merging capabilities at special nodes in the network as a means of combining feedback from the whole set of receivers. These strategies reduce network load and avoid feedback implosion at the source. In this paper, we examine how to provide optimal feedback for such schemes. The optimal feedback is achieved when state information from the whole set of receivers is represented in every incoming feedback packet at the sour… Show more

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Cited by 2 publications
(2 citation statements)
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“…propagation delays, and thus different source-to-receiver transmission delays. Applications such as adaptive multicast video distribution [13,14] can benefit from shortest-path trees because smaller round-trip times allow faster adaptation. The ability to construct ShortestPath Trees is therefore advantageous to the multicast routing protocol.…”
Section: The Problems Of Asymmetric Unicast Routingmentioning
confidence: 99%
“…propagation delays, and thus different source-to-receiver transmission delays. Applications such as adaptive multicast video distribution [13,14] can benefit from shortest-path trees because smaller round-trip times allow faster adaptation. The ability to construct ShortestPath Trees is therefore advantageous to the multicast routing protocol.…”
Section: The Problems Of Asymmetric Unicast Routingmentioning
confidence: 99%
“…Several studies analyze multimedia data services [1][2][3][4][5][6][7][8] for a variety of communication media and devices. The process of providing real-time multimedia services over mobile and broadband Internet connection has different requirements in terms of the Quality of Service (QoS) [9][10][11][12][13][14][15][16][17][18][19][20][21][22][23][24][25][26][27]. This prompts the division of multimedia data into two layers-the base layer and the enhancement layer.…”
Section: Introductionmentioning
confidence: 99%