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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Ravitz, G. Mei-Ling Shyu Powell, M.D. |
| Copyright Year | 2009 |
| Description | Author affiliation: Department of Electrical and Computer Engineering, University of Miami, Coral Gables, FL 33124, USA (Ravitz, G.; Mei-Ling Shyu) || NOAA/AOML, Hurricane Research Division, 4301 Rickenbacker Cswy, Miami, FL 33149, USA (Powell, M.D.) |
| Abstract | Natural disasters, such as hurricanes, could have an enormous impact on society. The level of the public's preparedness could make a significant difference in the severity of casualty and damage inflicted by such storms. We present a prototype system to reach out to the public and improve their awareness of the potential dangers involved with such weather events. This web-based system aggregates H*Wind storm track and wind fields data along with relevant videos extracted from YouTube and displays it to the user using Google Earth. A content-based concept detection algorithm is used to extract the videos, which may describe the impact of the storm in relevant geographic locations. Using Hurricane Ike as a case study, the result demonstrates how some of the information collected and displayed by the system could have increased the awareness of the public and potentially helped prepare them better to the devastating storm. |
| Starting Page | 342 |
| Ending Page | 347 |
| File Size | 713606 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781424441143 |
| DOI | 10.1109/IRI.2009.5211576 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2009-08-10 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Hurricanes Storms Wind Videos Data mining Prototypes Aggregates YouTube Displays Earth Public Outreach Concept Detection Web 2.0 Severe Weather Warning System |
| Content Type | Text |
| Resource Type | Article |
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