Title :
The design of video segmentation-aided VCR support for P2P VoD systems
Author :
Wang, Xin ; Zheng, Changyi ; Zhang, Zhenyuan ; Lu, Hong ; Xue, Xiangyang
Author_Institution :
Dept. of Comput. Sci. & Eng., Fudan Univ., Fudan
fDate :
5/1/2008 12:00:00 AM
Abstract :
VCR functionality is difficult to be implemented in a P2P VoD system, since it may give more server workload and fails some distribution paths. In this paper, we first analyze the user behavior of VCR interaction, and propose a video segmentation-aided P2P VoD System with VCR functionality. Specifically, a scene segmentation method is proposed based on the manifold representation of video visual feature and the Markov chain Monte Carlo (MCMC) method is used. And a novel P2P distribution method for video-segmentation-aided VCR functionality is considered and evaluated. Simulation results demonstrate that our proposed mechanism could reduce the server workload and improve the VCR performance at end hosts I.
Keywords :
Markov processes; Monte Carlo methods; image segmentation; peer-to-peer computing; video on demand; video signal processing; Markov chain Monte Carlo method; P2P VoD systems; P2P distribution method; VCR support; scene segmentation method; server workload; video segmentation; video visual feature manifold representation; Bandwidth; Internet; Layout; Monte Carlo methods; Peer to peer computing; Power system modeling; Streaming media; Switches; Video recording; Web server;
Journal_Title :
Consumer Electronics, IEEE Transactions on
DOI :
10.1109/TCE.2008.4560126