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Content Provider | IEEE Xplore Digital Library |
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Author | Zhi Zhai Kijewski-Correa, T. Hachen, D. Madey, G. |
Copyright Year | 2012 |
Description | Author affiliation: Department of Sociology, University of Notre Dame, IN-46556, USA (Hachen, D.) || Department of Civil and Environmental Engineering and Earth Sciences, University of Notre Dame, IN-46556, USA (Kijewski-Correa, T.) || Department of Computer Science and Engineering, University of Notre Dame, IN-46556, USA (Zhi Zhai; Madey, G.) |
Abstract | Facilitated by the latest advances of information technologies, online human computing resources provide researchers unprecedented opportunities to resolve a class of real-world problems that are challenging even to the computer algorithms, and yet manageable to human intelligence if working units are well organized. A problem in this category is image labeling, recognizing and categorizing targets in the images. In this paper, we describe an online platform that leverages human computation resources to resolve an image labeling task - classifying damage patterns in post-disaster photos. The underlying information valuable to us is not only the existence of damage in the image, but also its patterns and severity. We hope this study can provide new perspectives to enhance the design of crowdsourcing projects in future. |
Starting Page | 357 |
Ending Page | 364 |
File Size | 517295 |
Page Count | 8 |
File Format | |
ISBN | 9781467324281 |
e-ISBN | 9781467324304 |
DOI | 10.1109/ICDIM.2012.6360130 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2012-08-22 |
Publisher Place | Macao |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Accuracy Earthquakes Buildings Humans Tutorials Tagging Civil engineering |
Content Type | Text |
Resource Type | Article |
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