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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Duy-Dinh Le Thanh Duc Ngo Satoh, S. |
| Copyright Year | 2011 |
| Abstract | We introduce a general framework to index and retrieve people's appearance using their faces and names. All frontal faces are extracted from video programs and are grouped into clusters using temporal and visual information. These clusters are annotated by a semi-supervised method in which users help to annotate a small number of faces, and correct annotations suggested by the system. Once faces are annotated, users can search people by names or exemplar faces. In addition, trends of people's appearance and correlation between these trends in time space can be observed. We demonstrate such system for approximately 2,000 hours of videos broadcast by NHK Japan in 11 years from Mar 2001 to Mar 2011. |
| Starting Page | 211 |
| Ending Page | 212 |
| File Size | 956038 |
| Page Count | 2 |
| File Format | |
| ISBN | 9781457716485 |
| DOI | 10.1109/ICSC.2011.90 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2011-09-18 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Correlation face retrieval Face recognition Detectors large scale video indexing Search engines Electronic mail Data mining Indexing face name association |
| Content Type | Text |
| Resource Type | Article |
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