DocumentCode :
3153953
Title :
Hierarchical disaster image classification for situation report enhancement
Author :
Yang, Yimin ; Ha, Hsin-Yu ; Fleites, Fausto ; Chen, Shu-Ching ; Luis, Steven
Author_Institution :
Sch. of Comput. & Inf. Sci., Florida Int. Univ., Miami, FL, USA
fYear :
2011
fDate :
3-5 Aug. 2011
Firstpage :
181
Lastpage :
186
Abstract :
In this paper, a hierarchical disaster image classification (HDIC) framework based on multi-source data fusion (MSDF) and multiple correspondence analysis (MCA) is proposed to aid emergency managers in disaster response situations. The HDIC framework classifies images into different disaster categories and sub-categories using a pre-defined semantic hierarchy. In order to effectively fuse different sources (visual and text) of information, a weighting scheme is presented to assign different weights to each data resource depending on the hierarchical structure. The experimental analysis demonstrates that the proposed approach can effectively classify disaster images at each logical layer. In addition, the paper also presents an iPad application developed for situation report management using the proposed HDIC framework.
Keywords :
data analysis; disasters; emergency services; image classification; sensor fusion; statistical analysis; HDIC; MCA; MSDF; disaster response situations; hierarchical disaster image classification; multiple correspondence analysis; multisource data fusion; pre-defined semantic hierarchy; situation report enhancement; Data models; Feature extraction; Mathematical model; Multimedia communication; Performance evaluation; Training; Visualization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Reuse and Integration (IRI), 2011 IEEE International Conference on
Conference_Location :
Las Vegas, NV
Print_ISBN :
978-1-4577-0964-7
Electronic_ISBN :
978-1-4577-0965-4
Type :
conf
DOI :
10.1109/IRI.2011.6009543
Filename :
6009543
Link To Document :
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