TY - GEN
T1 - Multimedia rescue systems for floods
AU - Sahay, Animesh
AU - Kumar, Anjana Anil
AU - Pongpaichet, Siripen
AU - Jain, Ramesh
N1 - Publisher Copyright:
© 2017 Association for Computing Machinery.
PY - 2017/11/7
Y1 - 2017/11/7
N2 - In the recent years, digitalization of disaster management has gained much importance in aspects of response, recovery and mitigation. Often, issues identified in past disaster response and relief efforts include lack of communication, delayed ordering of actions (e.g., evacuations), and low levels of preparedness by authorities during disasters. A rapid response in the event of a disaster requires good situational awareness and fast sharing of that knowledge across the community.We believe that a digital ecosystem based on multimedia computing can address this major challenge in the society. The role of technology in disaster management is to connect, inform and ultimately save the lives of those impacted by disasters. Multimedia analysis must expand to take advantage of this fact to benefit society, in particular, help during disasters. Data driven tools as part of new ecosystem can link resources and need to build an effective platform for use during disasters. To accomplish ecosystem coevolution, creating a collaborative system with crowdsourced data, spatial data, and historical data is essential. EventShop is one such tool used to detect and observe changing real-world situations in real-time. Multimedia micro-reports are global, powerful, impactful and spontaneous data streams which are obtained from applications like Krumbs, Twitter, Flickr, etc. These micro-reports assist EventShop in building a rescue system that provides rescue responses to victims during disasters. In this paper, we present a framework that uses EventShop and multimedia micro-reports to correspond with victims during one such disaster, the flood.
AB - In the recent years, digitalization of disaster management has gained much importance in aspects of response, recovery and mitigation. Often, issues identified in past disaster response and relief efforts include lack of communication, delayed ordering of actions (e.g., evacuations), and low levels of preparedness by authorities during disasters. A rapid response in the event of a disaster requires good situational awareness and fast sharing of that knowledge across the community.We believe that a digital ecosystem based on multimedia computing can address this major challenge in the society. The role of technology in disaster management is to connect, inform and ultimately save the lives of those impacted by disasters. Multimedia analysis must expand to take advantage of this fact to benefit society, in particular, help during disasters. Data driven tools as part of new ecosystem can link resources and need to build an effective platform for use during disasters. To accomplish ecosystem coevolution, creating a collaborative system with crowdsourced data, spatial data, and historical data is essential. EventShop is one such tool used to detect and observe changing real-world situations in real-time. Multimedia micro-reports are global, powerful, impactful and spontaneous data streams which are obtained from applications like Krumbs, Twitter, Flickr, etc. These micro-reports assist EventShop in building a rescue system that provides rescue responses to victims during disasters. In this paper, we present a framework that uses EventShop and multimedia micro-reports to correspond with victims during one such disaster, the flood.
KW - Crowdsourced
KW - Disaster
KW - Flood
KW - Multimedia micro-report
KW - Rescue
KW - Resource
KW - Situation recognition
UR - https://www.scopus.com/pages/publications/85047269925
U2 - 10.1145/3167020.3167052
DO - 10.1145/3167020.3167052
M3 - Conference contribution
AN - SCOPUS:85047269925
T3 - 9th International Conference on Management of Digital EcoSystems, MEDES 2017
SP - 210
EP - 215
BT - 9th International Conference on Management of Digital EcoSystems, MEDES 2017
PB - Association for Computing Machinery, Inc
T2 - 9th International Conference on Management of Digital EcoSystems, MEDES 2017
Y2 - 7 November 2017 through 9 November 2017
ER -