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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Yongliang Xiao Limin Xia |
| Copyright Year | 2010 |
| Abstract | Key frames play a very important role in video retrieval. In this paper, we introduce a novel method to extract key frames to represent video shot based on connectivity clustering. Compared with other methods, the proposed method can dynamically divide the frames into clusters depending on the content of shot, and then the frame closest to the cluster centroid is chosen as the key frame for the video shot. Experimental results and the comparisons with other methods on various types of video sequences illustrate the high performance of the proposed method. |
| Starting Page | 174 |
| Ending Page | 177 |
| File Size | 274674 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781424463886 |
| e-ISBN | 9781424463893 |
| DOI | 10.1109/ETCS.2010.129 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2010-03-06 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Video sequences connectivity clustering Educational technology Information retrieval Pattern recognition Information management Data mining shot Computer science Information science Clustering algorithms video retrieval Computer science education key frame |
| Content Type | Text |
| Resource Type | Article |
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