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http://dx.doi.org/10.5762/KAIS.2011.12.12.5902

Detecting Shot Boundaries of Dynamic Images Using Certainty Factors  

Jang, Seok-Woo (Department of Digital Media, Anyang University)
Publication Information
Journal of the Korea Academia-Industrial cooperation Society / v.12, no.12, 2011 , pp. 5902-5909 More about this Journal
Abstract
In this paper, we propose a new method to detect abrupt and gradual shot transitions of video data by using certainty factors. The abrupt transitions denotes cuts and the gradual transitions fade in, fade out, dissolve, horizontal wipes, vertical wipes, Barn Doors, and Iris Rounds. The suggested method first extracts representative features for each shot transition and determines corresponding shot transitions by integrating all the extracted features and inferring adequate transitions. To verify the performance of the proposed shot transition method, experimental results show that the suggested method can detect shot transitions more accurately than existing methods.
Keywords
Feature Extraction; Abrupt Transition; Gradual Transition; Wipes; Certainty factor;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
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1 K. Bunte, M. Biehl, M. F. Jonkman, and N. Petkov, "Learning Effective Color Features for Content Based Image Retrieval in Dermatology," Pattern Recognition, Vol. 44, No. 9, pp. 1892-1902, 2011.   DOI   ScienceOn
2 F. Y. Shih, "Image Processing and Pattern Recognition: Fundamentals and Techniques," John Wiley & Sons, 2010.
3 J. Giarratano, "Expert Systems: Principles and Programming," Third Edition, PWS Publishing Company, 1998.
4 D. Lelescu, D. Schonfeld, "Statistical Sequential Analysis for Real-Time Video Scene Change Detection on Compressed Multimedia Bitstream," IEEE Transactions on Multimedia, Vol. 5, No. 1, pp. 106-117, 2003.   DOI
5 B. T. Jeon, "A Study on Analyzing Caption Characteristic for Recovering Original Images of Caption Region in TV Scene", Journal of The Institute of Webcasting, Internet and Telecommunication, Vol 10, No 4, pp. 177-182, 2010.
6 Y. K. Jung, "Decision of Gaussian Function Threshold for Image Segmentation", Journal of The Institute of Webcasting, Internet and Telecommunication, Vol 9, No 5, pp. 163-168, 2009.
7 L.-H. Chen, Y.-C. Lai, and H.-Y. M. Liao, "Movie Scene Segmentation Using Background Information" Pattern Recognition, Vol. 41, No. 3, pp. 1056-1065, 2008.   DOI
8 S. Li and M.-C. Lee, "Effective Detection of Various Wipe Transitions," IEEE Transactions on Circuits and Systems for Video Technology, Vol. 17, No. 6, pp. 663-673, 2007.   DOI
9 R. Joyce and B. Liu, "Temporal Segmentation of Video Using Frame and Histogram Space," IEEE Transactions on Multimedia, Vol. 8, No. 1, pp. 130-140, 2006.   DOI
10 R. Zabih, J. Miller, and K. Mai, "A Feature-based Algorithm for Detecting and Classifying Production Effects," Multimedia Systems, Vol. 7, No. 2, pp. 119-128, 1999.   DOI
11 A. F. Smeaton, P. Over, and A. R. Doherty, "Video Shot Boundary Detection: Seven Years of TRECVid Activity,"Computer Vision and Image Understanding, Vol. 114, No. 4, pp. 411-418, 2010.   DOI
12 C. A. Dhawale1 and S. Jain, "Motion Compensated Video Shot Detection Using Multiple Feature Experts," International Journal of Graphics, Vision, and Image Processing, Vol. 8, No. 5, pp. 1-11, 2009.
13 P. Campisi, A. Neri, and L. Sorgi, "Wipe Effect Detection for Video Sequences," In Proc. of the IEEE Workshop on Multimedia Signal Processing, pp. 161-164, 2002.