1. R. Hammound, R. Mohr, A probabilistic framework of selecting effective key frames from video browsing and indexing, in: Proceedings of International Workshop on Real-Time Image Sequence Analysis, 2000, pp. 79–88.
2. Y. Zhuang, Y. Rui, T.S. Huang, Adaptive key frame extraction using unsupervised clustering, in: Proceedings of International Conference on Image Processing, Washington, DC, USA, 1998, pp. 866–870.
3. Two-stage hierarchical video summary extraction to match low-level user browsing preferences;Ferman;IEEE Transaction on Multimedia,2003
4. A novel video key-frame algorithm based on perceived motion energy model;Liu;IEEE Transactions on Circuits and Systems for Video Technology,2003
5. P.O. Gresle, T.S. Huang, Gisting of video documents: a key frames selection algorithm using relative activity measure, in: Proceedings of the Second International Conference on Visual Information Systems, 1997, pp. 279–286.