Automatic partitioning of full-motion video
Multimedia Systems
A decision-theoretic generalization of on-line learning and an application to boosting
Journal of Computer and System Sciences - Special issue: 26th annual ACM symposium on the theory of computing & STOC'94, May 23–25, 1994, and second annual Europe an conference on computational learning theory (EuroCOLT'95), March 13–15, 1995
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FGR' 04 Proceedings of the Sixth IEEE international conference on Automatic face and gesture recognition
Rapid estimation of camera motion from compressed video with application to video annotation
IEEE Transactions on Circuits and Systems for Video Technology
IEEE Transactions on Circuits and Systems for Video Technology
Video shot boundary detection algorithm using LZW compression technique
SPPRA '08 Proceedings of the Fifth IASTED International Conference on Signal Processing, Pattern Recognition and Applications
Video temporal segmentation using support vector machine
AIRS'08 Proceedings of the 4th Asia information retrieval conference on Information retrieval technology
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A shot boundary detection algorithm based on fuzzy theory and Adaboost is proposed in this paper. According to changes of color and camera motion, videos are classified into six types. By using features in compress domain such as DCT coefficients, the type of the MB, HSV color histogram difference, camera motion difference and so on, videos are segmented into three classes, that is, cut shot, gradual shot and non-change. The results of experiment have shown that this algorithm is robust for camera motion and walk-in of large objects in videos, and have better precision of shot boundary detection compared with the classic double-threshold method and the method of presented by Kuoet al.. There is no problem of threshold selection in our algorithm but it exists in most of other algorithms.