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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Shouqun Liu Ming Zhu Quan Zheng |
| Copyright Year | 2008 |
| Description | Author affiliation: Dept. of Autom., Univ. of Sci. & Technol. of China, Hefei (Shouqun Liu; Ming Zhu; Quan Zheng) |
| Abstract | Video shot boundary detection is a fundamental step for content base video analysis and has been widely studied in recent years. In this paper, a novel shot boundary detection algorithm is proposed. The algorithm uses feature space kernel smoothing to segment video into shots. The method is demonstrated to have high accuracy in both cuts and gradual transition detection. For flashlights and fast background change which cause the false detection, a post refinement strategy using local feature analysis is also studied in this paper. The effectiveness of the method is also verified by the experiments. |
| Starting Page | 1548 |
| Ending Page | 1551 |
| File Size | 600568 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781424421787 |
| DOI | 10.1109/ICOSP.2008.4697429 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2008-10-26 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Gunshot detection systems Computer vision Smoothing methods Kernel Change detection algorithms Detection algorithms Video compression Space technology Object detection Motion detection post refinement video analysis shot boundary detection mean shift local feature SIFT |
| Content Type | Text |
| Resource Type | Article |
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