Reliable scalable video multi-cast with source diversity and inter-source network decoding in lossy networks

Conference proceedings article

Authors/Editors

WUTTIPONG KUMWILAISAK

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Publication Details

Author list: Tarnoi S., Kumwilaisak W., Ji Y.

Publisher: Hindawi

Publication year: 2012

ISBN: 9780615700502

eISSN: 1745-4557

URL: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84874408563&partnerID=40&md5=18dc289fa1f2d445af6bf6b5edf119da

Languages: English-Great Britain (EN-GB)

Abstract

This paper presents a reliable scalable video multi-cast with source diversity and inter-source network decoding in lossy networks. The source diversity technique gives path diversity providing a better quality of layered video transmission under hostile environments. For each source, an optimization formulation is set up to find the best transmission route of each transmitting video layer. The objectives of the formulation are to maximize the summation of information values of video layers and transmission reliability. The source providing the best overall achievable data rate is selected to be the primary source, while the rest will be secondary sources. When the Quality-of-Service (QoS) guarantee of some transmitting video layers cannot be fulfilled by the primary source, the secondary source with the best QoS parameters is selected to transmit the layers to destinations. The number of secondary sources used for transmissions is increased until the QoS guarantees of all transmitting video layers are satisfied or all network resources are utilized. Network coding is deployed to multi-cast video layers from the same source for efficient resource usage. Network coded data from different sources can be used together to decode the transmitting video data. In other words, at each destination, it needs only a sufficient number of video packets from different sources to recover all transmitting video data. Simulations with different network topologies show the improvement in both objective and subjective qualities of layered video multi-cast under lossy environments. ฉ 2012 APSIPA.

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