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Shot Change Detection based on Fuzzy Classifier and Transition Duration Refinement
|關鍵字:||abrupt shot change;突然式鏡頭轉換;dissolve shot change;shot change detection;溶解式鏡頭轉換;鏡頭轉換偵測||出版社:||電機工程學系所||引用:|| T.H. Tsai and Y. C. Chen, “A Robust shot change detection method for content-based retrieval,” IEEE International Symposium Circuits and Systems, vol. 5, pp. 4590-4593, May. 2005.  Q. Liu and L. Yang, “Twi-difference algorithm for video''s abrupt shot change detection,” International Conference on Neural Networks and Signal Processing, vol. 2, pp. 1177-1180, Dec. 2003.  H. J. Zhang, A. Kankanhalli, and S. W. Smoliar, “Automatic partitioning of full-motion video,” Multimedia Systems, pp.10-28, 1993.  C. W. Ngo, T. C. Pong and R. T. Chin, “Detection of gradual transitions through temporal slice analysis,” IEEE conference on Vision and Pattern Recognition, vol. 1, pp. 23-25, June. 1999.  X. Yi and N. Ling, “Fast pixel-based video scene change detection,” IEEE International Symposium Circuits and Systems, vol. 4, pp. 3443-4446, May. 2005.  B. L. Yeo and B. Liu, “Rapid scene analysis on compressed video,” IEEE Transactions on Circuits and Systems for Video Technology, vol. 5, pp. 533-544, Dec. 1995.  “A statistical approach to scene change detection,” SPIE, vol. 2420, pp. 329-338, 1995.  C. Grana and R. Cucchiara, “Linear transition detection as a unified shot detection approach,” IEEE Transactions on Circuits and Systems for Video Technology, vol. 17, pp. 483-489, April. 2007.  L. Tong and P. N. Suganthan, “An adaptive cumulation algorithm for video shot detection,” P. Int. Symposium on Intelligent Multimedia, Video & Speech Processing, pp. 296-299, May. 2001.  A. Hanjalic, “Shot-boundary detection: unraveled and resolved,” IEEE Transactions on Circuits and Systems, vol. 12, pp. 90-105, Feb. 2002.  J. Nam and A. H. Tewfik, “Detection of gradual transition in video sequence using B-spline interpolation,” IEEE Transactions on Multimedia, vol. 7, pp. 667-679, Aug. 2005.  C. W. Su, H. Y. Liao, H. R. Tyan, K. C. Fan and L. H. Chen, “A motion-tolerant dissolve detection algorithm,” IEEE Transactions on Multimedia, vol. 7, pp. 130-140, Dec. 2005.  R. A. Joyce and B. Liu, “Temporal segmentation of video using frame and histogram space,” IEEE Transactions on Multimedia, vol. 8, pp. 1106-1113, Feb. 2006.  R. Lienhart, “Reliable transition detection in videos: A survey and practitioner's guide,” International Journal of Image and Graphics, pp. 469-486, 2001.||摘要:||
In this article, to identify the abrupt and dissolve shot transition, we proposed an algorithm of shot change detection based on fuzzy classifier and transition duration refinement. The key to the success of video content analysis is segmentation, which is to divide a complete video stream into several shots for further analysis. The identification of shots is possible with the help of the shot change detection, which is to locate the boundary of two consecutive shots. The proposed scheme can reduce the effect of fast object/camera motion and flashes for shot change detection. Furthermore, to accurately capture the duration of dissolve transition, the transition duration refinement algorithm was proposed. We extracted eight features as the input of fuzzy classifier to detect shot changes. The experimental results demonstrate our proposed scheme can not only detect abrupt and dissolve transitions well but also accurately locate their durations. Our proposed scheme can provide a better performance for abrupt and dissolve detection.
Keywords: Abrupt shot change, dissolve shot change, shot change detection
|Appears in Collections:||電機工程學系所|
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