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

Volume

54

Issue

2

fYear

2008

fDate

5/1/2008 12:00:00 AM

Firstpage

531

Lastpage

537

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;

fLanguage

English

Journal_Title

Consumer Electronics, IEEE Transactions on

Publisher

ieee

ISSN

0098-3063

Type

jour

DOI

10.1109/TCE.2008.4560126

Filename

4560126