標題: Layered congestion control for scalable video coding based on the efficient bandwidth inference
作者: Wang, Sheng-Shuen
Hsiao, Hsu-Feng
Lee, Suh-Yin
資訊工程學系
Department of Computer Science
公開日期: 2007
摘要: Scalable video coding allows greater granularity adaptation at bit level to the time-vary heterogeneous networks. In this paper, we propose a congestion control algorithm based on the bandwidth estimation techniques. In order to cooperate with H.264/MPEG-4 AVC SVC extension which can achieve fine granularity of scalability, we design an adaptation strategy to smartly switch to an efficient bandwidth inference mode during the channel probing period according to the one way delay and jitter profile so that the subscription decision of SVC layers can be made quickly to better utilize the network resource. In case of the unavoidable network congestion, we unsubscribe scalable video layers according to the recently received throughput instead of only dropping one layer at a time to rapidly accommodate the streaming service to the channels. The simulations show that the proposed algorithm converges fast to the available bandwidth and can adapt to the fluctuated network efficiently.
URI: http://hdl.handle.net/11536/6323
http://dx.doi.org/10.1109/ISM.Workshops.2007.76
ISBN: 978-0-7695-3084-0
DOI: 10.1109/ISM.Workshops.2007.76
期刊: ISM WORKSHOPS 2007: NINTH IEEE INTERNATIONAL SYMPOSIUM ON MULTIMEDIA - WORKSHOPS, PROCEEDINGS
起始頁: 417
結束頁: 420
Appears in Collections:Conferences Paper


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