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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Jiang, R.M. Sadka, A.H. Crookes, D. |
| Copyright Year | 1975 |
| Abstract | In this paper, a hierarchical video structure summarization approach using Laplacian Eigenmap is proposed, where a small set of reference frames is selected from the video sequence to form a reference subspace to measure the dissimilarity between two arbitrary frames. In the proposed summarization scheme, the shot-level key frames are first detected from the continuity of inter-frame dissimilarity, and the sub-shot level and scene level representative frames are then summarized by using k-mean clustering. The experiment is carried on both test videos and movies, and the results show that in comparison with a similar approach using latent semantic analysis, the proposed approach using Laplacian Eigenmap can achieve a better recall rate in keyframe detection, and gives an efficient hierarchical summarization at sub shot, shot and scene levels subsequently. |
| Sponsorship | IEEE Consumer Electronics Society |
| File Size | 2908054 |
| File Format | |
| ISSN | 00983063 |
| Volume Number | 55 |
| Issue Number | 3 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2009-08-01 |
| Publisher Place | U.S.A. |
| Access Restriction | One Nation One Subscription (ONOS) |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Video sharing Layout Laplace equations Gunshot detection systems Multimedia databases Image segmentation Video sequences Testing Motion pictures Explosions Representative Frame Hiearchical Video Summarization Latent Semantic Analysis Laplacian Eigenmap |
| Content Type | Text |
| Resource Type | Article |
| Subject | Electrical and Electronic Engineering Media Technology |
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