PROMISE: peer-to-peer media streaming using CollectCast
MULTIMEDIA '03 Proceedings of the eleventh ACM international conference on Multimedia
M-chaining scheme for VoD application on cluster-based Markov process
International Journal of Advanced Media and Communication
Maximizing the Availability and Reliability of Videos in VoD System Using Markov Chain
CTRQ '09 Proceedings of the 2009 Second International Conference on Communication Theory, Reliability, and Quality of Service
Spectral structuring of home videos
CIVR'03 Proceedings of the 2nd international conference on Image and video retrieval
IEEE Transactions on Multimedia
Video scene segmentation using Markov chain Monte Carlo
IEEE Transactions on Multimedia
Evaluation of automatic shot boundary detection on a large video test suite
IM'99 Proceedings of the 1999 international conference on Challenge of Image Retrieval
The design of video segmentation-aided VCR support for P2P VoD systems
IEEE Transactions on Consumer Electronics
Automated high-level movie segmentation for advanced video-retrieval systems
IEEE Transactions on Circuits and Systems for Video Technology
A novel dynamic pricing scheme for contributing peers in the VoD system
Multimedia Tools and Applications
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In this paper, we have investigated the video pre-processing and the VCR operations for the Video on Demand (VoD) system. We have proposed a novel technique for the segmentation of the movies using Markov Chain Monte Carlo (MCMC). Our proposed segmentation technique will segment the videos by identifying the scene boundary locations. The objective of this paper is to reduce the accessing time for the new requests of the movies using M-chaining technique and also to reduce the seeking time for the VCR operations using our segmentation technique. We have numerically analysed the existing segmentation techniques with our proposed segmentation technique. We found that our segmentation technique shows the less computational time compared with other segmentation techniques. The performance of the segmentation techniques is measured in terms of Precision as well as Recall and our technique gives more accurate results compared with other segmentation techniques. The VCR functionalities are simulated by applying our segmentation technique and the results of the simulation show less accessing and seeking time. We have also addressed the practical issues of efficient utilisation of overall bandwidth and buffer of the VoD system using our segmentation technique.