Abstract
This paper presents a novel data organizing and delivery framework for P2P media streaming which is aware of media content. In this framework, the media data is partitioned GOP by GOP, and reorganized according to the frame-priorities within a GOP. All GOPs cached in the media buffer of a peer node can be scheduled concurrently, while the frames contained in each GOP are transmitted by order strictly according to their priorities. Analysis and primary experimental results show that the proposed techniques can provide not only self-adaptive QoS for heterogeneous network conditions, but also quick channel switching with near fixed delay time.
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© 2007 Springer Berlin Heidelberg
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Huo, L., Gao, W., Fu, Q., Guo, R., Chen, S. (2007). QoS Adaptive Data Organizing and Delivery Framework for P2P Media Streaming. In: Sebe, N., Liu, Y., Zhuang, Y., Huang, T.S. (eds) Multimedia Content Analysis and Mining. MCAM 2007. Lecture Notes in Computer Science, vol 4577. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-73417-8_48
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DOI: https://doi.org/10.1007/978-3-540-73417-8_48
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-73416-1
Online ISBN: 978-3-540-73417-8
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