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Source and Channel Adaptive Rate Control for Multicast Layered Video Transmission Based on a Clustering Algorithm
Jérôme Viéron, Thierry Turletti, Kavé Salamatian, Christine Guillemot

Source and Channel Adaptive Rate Control for Multicast Layered Video Transmission Based on a Clustering Algorithm

Science & Mathematics Published 2004 Verification Pending

Overview & Synopsis

This paper introduces source-channel adaptive rate control (SARC), a new congestion control algorithm for layered video transmission in large multicast groups. In order to solve the well-known feedback implosion problem in large multicast groups, we first present a mechanism for filtering RTCP receiver reports sent from receivers to the whole session. The proposed filtering mechanism provides a classification of receivers according to a predefined similarity measure. An end-to-end source and FEC rate control based on this distributed feedback aggregation mechanism coupled with a video layered coding system is then described. The number of layers, their rate, and their levels of protection are adapted dynamically to aggregated feedbacks. The algorithms have been validated with the NS2 network simulator.

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Document Information

Document Title Source and Channel Adaptive Rate Control for Multicast Layered Video Transmission Based on a Clustering Algorithm
Author / Organization Jérôme Viéron, Thierry Turletti, Kavé Salamatian, Christine Guillemot
Subject & Discipline Multidisciplinary Academic Open Research
Categories Science & Mathematics
Publication Year 2004
License / Rights Open Access / Creative Commons
Resource Verification Listed PDF (Verification Pending)
Original Host Website HAL Open Science (hal.science)
File Format application/pdf (Portable Document Format)
Language EN
Catalog ID DOC-251655
Original Source Link Visit Source Page on hal.science »