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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Chong-Wah Ngo Ting-Chuen Pong Hong-Jiang Zhang Chin, R.T. |
| Copyright Year | 2000 |
| Description | Author affiliation: Dept. of Comput. Sci., Hong Kong Univ. of Sci. & Technol., China (Chong-Wah Ngo) |
| Abstract | We present a scheme for automatically partitioning videos into scenes. A scene is generally referred to as a group of shots taken at the same site. We first propose a motion annotation algorithm based on the analysis of spatiotemporal image volumes. The algorithm characterizes the motions within shots by extracting and analyzing the motion trajectories encoded in the temporal slices of image volumes. A motion-based keyframe computing and selection strategy is thus proposed to compactly represent the content of shots. With these techniques, we further present a scene change detection algorithm by measuring the similarity of the representative keyframes in shots. |
| Starting Page | 827 |
| Ending Page | 830 |
| File Size | 416935 |
| Page Count | 4 |
| File Format | |
| ISBN | 0769507506 |
| ISSN | 10514651 |
| DOI | 10.1109/ICPR.2000.905535 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2000-09-03 |
| Publisher Place | Spain |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Layout Motion detection Motion analysis Change detection algorithms Partitioning algorithms Image analysis Image motion analysis Algorithm design and analysis Spatiotemporal phenomena Detection algorithms |
| Content Type | Text |
| Resource Type | Article |
| Subject | Computer Vision and Pattern Recognition |
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