8th IEEE International Conference on Collaborative Computing: Networking, Applications and Worksharing

Research Article

MADIS: A Multimedia-Aided Disaster Information Integration System for Emergency Management

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  • @INPROCEEDINGS{10.4108/icst.collaboratecom.2012.250525,
        author={Yimin Yang and Wenting Lu and Jesse Domack and Tao Li and Shu-Ching Chen and Steven Luis and Jainendra Navlakha},
        title={MADIS: A Multimedia-Aided Disaster Information Integration System for Emergency Management},
        proceedings={8th IEEE International Conference on Collaborative Computing: Networking, Applications and Worksharing},
        publisher={IEEE},
        proceedings_a={COLLABORATECOM},
        year={2012},
        month={12},
        keywords={multimedia disaster information management emergency management mobile application hierarchical classification},
        doi={10.4108/icst.collaboratecom.2012.250525}
    }
    
  • Yimin Yang
    Wenting Lu
    Jesse Domack
    Tao Li
    Shu-Ching Chen
    Steven Luis
    Jainendra Navlakha
    Year: 2012
    MADIS: A Multimedia-Aided Disaster Information Integration System for Emergency Management
    COLLABORATECOM
    ICST
    DOI: 10.4108/icst.collaboratecom.2012.250525
Yimin Yang1,*, Wenting Lu1, Jesse Domack1, Tao Li1, Shu-Ching Chen1, Steven Luis1, Jainendra Navlakha1
  • 1: Florida International University
*Contact email: yyang010@cs.fiu.edu

Abstract

In this work, we have designed and developed a Multimedia-Aided Disaster Information Integration System (MADIS), which utilizes advanced data mining techniques to analyze situation reports and pictures as well as text captured in the field and automatically link the reports directly to relevant multimedia content. Specifically, a dynamic hierarchical image classification approach is proposed to categorize disaster images into different subjects by fusing image and text information. Situation reports are analyzed using advanced document processing techniques and then associated with processed multimedia data. In order to seamlessly incorporate user interactive activities for improving information integration, a user feedback processing scheme is proposed to refine the association between situation reports and images as well as the affinity among images. The system is developed on Apple's mobile operating system (iOS) and runs on iPad tablets, and its usefulness is evaluated by domain experts from the local EM department.