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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Wenping Liu Gang Yang Xinyuan huang |
| Copyright Year | 2009 |
| Description | Author affiliation: Department of Digital Media, Beijing Forestry University, 100083, China (Wenping Liu; Gang Yang; Xinyuan huang) |
| Abstract | In order to find desired video clips efficiently, the research on content-based video retrieval techniques has become one of the most prominent research areas. A multiple semantic features based news stories segmentation approach is proposed in this paper. A prototype system with the capability of the news stories segmentation, and browsing & retrieval is developed for testing the proposed approach. In this approach, the video features, (i.e. anchor-person face) and the audio features (i.e. the silence gap and change of speaker) in the news video are detected and used to segment the news stories along with text information (i.e. extracted caption from the news video). The experimental results demonstrate that the proposed approach has higher segmentation precision than that of the caption-based method. |
| Starting Page | 258 |
| Ending Page | 265 |
| File Size | 438059 |
| Page Count | 8 |
| File Format | |
| ISBN | 9781424437283 |
| DOI | 10.1109/ICWAPR.2009.5207491 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2009-07-12 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | System testing Content based retrieval News story segmentation Image retrieval Information retrieval Wavelet analysis Pattern recognition Face detection Videoconference Prototypes Semantic feature Pattern analysis News video retrieval |
| Content Type | Text |
| Resource Type | Article |
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