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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Ciocca, G. Schettini, R. |
| Copyright Year | 1975 |
| Abstract | Representation of the video content using a set of key frames is one of the most common techniques for video summarization. Summaries composed of key frames allow users to grasp the overall content of a video, and access specific sequences. The post-processing algorithm presented in this paper makes it possible to create visual video summaries that are exhaustive, but not redundant, in three steps the method removes meaningless key frames, groups the key frames into clusters to allow multi-level summary presentation, and determines the default summary level. The algorithm utilizes both supervised and unsupervised classification strategies to perform these tasks. It requires no previous knowledge about the video contents, nor is any assumption made about the input data. |
| Sponsorship | IEEE Consumer Electronics Society |
| Starting Page | 630 |
| Ending Page | 638 |
| Page Count | 9 |
| File Size | 2928719 |
| File Format | |
| ISSN | 00983063 |
| Volume Number | 52 |
| Issue Number | 2 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2006-05-01 |
| Publisher Place | U.S.A. |
| Access Restriction | One Nation One Subscription (ONOS) |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Clustering algorithms Layout Gunshot detection systems Information retrieval Multimedia systems Multimedia databases Image databases Visual databases Resumes Video sequences |
| Content Type | Text |
| Resource Type | Article |
| Subject | Electrical and Electronic Engineering Media Technology |
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