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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Shih-Wei Sun Yu-Chiang Frank Wang Yao-Ling Hung Chia-Ling Chang Kuan-Chieh Chen Cheng, Shih-Sian Wang, Hsin-Min Hong-Yuan Mark Liao |
| Copyright Year | 2011 |
| Description | Author affiliation: Institute of Information Science, Academia Sinica, Taipei, Taiwan (Shih-Wei Sun; Yu-Chiang Frank Wang; Yao-Ling Hung; Cheng, Shih-Sian; Wang, Hsin-Min; Hong-Yuan Mark Liao) || Research Center for Information Technology Innovation, Academia Sinica, Taipei, Taiwan (Chia-Ling Chang; Kuan-Chieh Chen) |
| Abstract | Most Web videos are captured in uncontrolled environments (e.g. videos captured by freely-moving cameras with low resolution); this makes automatic video annotation very difficult. To address this problem, we present a robust moving foreground object detection method followed by the integration of features collected from heterogeneous domains. We advance SIFT feature matching and present a probabilistic framework to construct consensus foreground object templates (CFOT). The CFOT can detect moving foreground objects of interest across video frames, and this allows us to extract visual features from foreground regions of interest. Together with the use of audio features, we are able to improve resulting annotation accuracy. We conduct experiments and achieve promising results on a Web video dataset collected from YouTube. |
| Starting Page | 1 |
| Ending Page | 6 |
| File Size | 3435815 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781612843483 |
| ISSN | 19457871 |
| e-ISBN | 9781612843506 |
| e-ISBN | 9781612843490 |
| DOI | 10.1109/ICME.2011.6011918 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2011-07-11 |
| Publisher Place | Spain |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Videos Feature extraction Visualization Cameras Object detection Airplanes Fires object detection Video annotation |
| Content Type | Text |
| Resource Type | Article |
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