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Shot Boundary Detection In Videos Sequences Using Motion Activities
Youness Tabii, Sadiq Abdelalim
Pages - 1 - 7     |    Revised - 10-11-2014     |    Published - 10-12-2014
Published in Advances in Multimedia - An International Journal (AMIJ)
Volume - 5   Issue - 1    |    Publication Date - November / December 2014  Table of Contents
MORE INFORMATION
References   |   Abstracting & Indexing
KEYWORDS
Information Retrieval, Shot Detection, Video Segmentation, Motion Vector, 2D Variance.
ABSTRACT
Video segmentation is fundamental to a number of applications related to video retrieval and analysis. To realize the content based video retrieval, the video information should be organized to elaborate the structure of the video. The segmentation video into shot is an important step to make. This paper presents a new method of shot boundaries detection based on motion activities in video sequence. The proposed algorithm is tested on the various video types and the experimental results show that our algorithm is effective and reliably detects shot boundaries.
ABSTRACTING & INDEXING
1 Google Scholar 
2 CiteSeerX 
3 refSeek 
4 Scribd 
5 SlideShare 
6 PdfSR 
REFERENCES
A Barjatya. “ Block matching algorithms for motion estimation,” DIP 6620 Spring 2004 Final Project Paper, 2009.
D.G. Lowe. “Distinctive image features from scale-invariant keypoints.” International journal of computer vision, vol. 60, pp. 91-110. 2004.
H. Koumaras and G. Gardikis and G. Xilouris and E. Pallis and A.Kourtis. “Shot boundary detection without threshold parameters.” Journal of Electronic Imaging, vol. 15(2), April. 2006.
J. Bescos. “Real time shot change detection over online mpeg-2 video.” IEEE Transactions on Circuits and Systems for Video Technology, vol. 1(4), pp.475-484, April. 2004.
M. H. Park and R. H. Park and and S.W. Lee. “Shot boundary detection using scale invariant feature matching. ” In Proc. SPIE Visual Communications and Image Processing, 2006, pp. 569–577.
T.S Chua and H.M. Feng and C. Anantharamu. “An unified framework for shot boundary detection via active learning”. In Proc. ICASSP, 2003, pp. 845–848.
U. Gargi and R. Kasturi and S.H. Strayer. “Performance characterization of video-shot- change detection methods.” Circuits and Systems for Video Technology, IEEE Transactions, vol. pp. 1-13, 2002.
Y. Tabii and R. O. H. Thami. “A new method for soccer shot detection with multi-resolution dct,” CORESA’07 Compression et REprsentation des Signaux Audiovisuels, France, 2007.
MANUSCRIPT AUTHORS
Mr. Youness Tabii
ENSA Abdelmalek Essaadi University Tétouan - Morocco
youness.tabii@gmail.com
Mr. Sadiq Abdelalim
Computer sciences departement Faculty of sciences Ibn Tofail University, Kenitra, Morocco - Morocco


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