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WISC at MediaEval 2017 : multimedia satellite task
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Tkachenko, Nataliya, Zubiaga, Arkaitz and Procter, Rob (2017) WISC at MediaEval 2017 : multimedia satellite task. In: MediaEval 2017 : Multimedia Benchmark Workshop, Dublin, Ireland, 13-15 Sep 2017. Published in: Working Notes Proceedings of the MediaEval 2017 Workshop, Dublin, Ireland, September 13-15, 2017, 1984
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Official URL: http://ceur-ws.org/Vol-1984/Mediaeval_2017_paper_1...
Abstract
This working note describes the work of the WISC team on the Multimedia Satellite Task at MediaEval 2017. We describe the runs that our team submitted to both the DIRSM and FDSI subtasks, as well as our evaluations on the development set. Our results demonstrate high accuracy in the detection of flooded areas from user-generated content in social media. In the first subtask consisting of disaster image retrieval from social media, we found that tags defined by users to describe the images are very helpful for achieving high accuracy classification. In the second subtask consisting of detecting flood in satellite images, we found that social media can increase the precision in analyses when combined with satellite images by taking advantage of spatial and temporal overlaps between data sources.
| Item Type: | Conference Item (Paper) | ||||||
|---|---|---|---|---|---|---|---|
| Subjects: | G Geography. Anthropology. Recreation > GB Physical geography H Social Sciences > HM Sociology Q Science > QA Mathematics > QA76 Electronic computers. Computer science. Computer software |
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| Divisions: | Faculty of Science > Computer Science | ||||||
| Library of Congress Subject Headings (LCSH): | Floods, Social media , Computer programs | ||||||
| Journal or Publication Title: | Working Notes Proceedings of the MediaEval 2017 Workshop, Dublin, Ireland, September 13-15, 2017 | ||||||
| Official Date: | 7 November 2017 | ||||||
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| Volume: | 1984 | ||||||
| Status: | Peer Reviewed | ||||||
| Publication Status: | Published | ||||||
| Access rights to Published version: | Open Access | ||||||
| Funder: | Alan Turing Institute | ||||||
| Conference Paper Type: | Paper | ||||||
| Title of Event: | MediaEval 2017 : Multimedia Benchmark Workshop | ||||||
| Type of Event: | Workshop | ||||||
| Location of Event: | Dublin, Ireland | ||||||
| Date(s) of Event: | 13-15 Sep 2017 | ||||||
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| Open Access Version: |
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