A novel substream extraction for scalable video coding over P2P networks

Authors:
Chunhua Li;Chun Yuan;Yuzhuo Zhong
Affiliations:
Department of Computer Science and Technology, Tsinghua University, Beijing, China;Department of Computer Science and Technology, Tsinghua University, Beijing, China;Department of Computer Science and Technology, Tsinghua University, Beijing, China
Venue:
ICACT'09 Proceedings of the 11th international conference on Advanced Communication Technology - Volume 3
Year:
2009

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Abstract

Video distribution through peer-to-peer (P2P) networks using Scalable Video Coding (SVC) has been an active research. And bitstream extraction is an important issue in SVC transmission. In this paper, we propose a global optimal GOP-adaptive Rate-Distortion optimization extraction algorithm for SVC streaming multicasting over P2P networks. This method solves the problem of serving many clients with heterogeneous bandwidth, and it makes the transmission more efficient and robust under the same bandwidth condition. The algorithm has been implemented with JSVM 11, and simulations are performed to verify the proposed scheme using NS-2. Experiment results show that the proposed algorithm not only offers better performance but also doesn't bring too much computation costs as compared with existing methods.