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The Application of Social Media Image Analysis to an Emergency Management System

Jing, Min, Bryan, Scotney, Coleman, SA and McGinnity, TM (2016) The Application of Social Media Image Analysis to an Emergency Management System. In: 11th International Conference on Availability, Reliability and Security (ARES), 2016, Austria. IEEE. 6 pp. [Conference contribution]

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DOI: 10.1109/ARES.2016.24

Abstract

The emergence of social media has provided vast amounts of information that is potentially valuable for emergency management. In the EU-FP7 Project Security Systems for Language and Image Analysis (Slandail), an image analysis system has been developed to recognize the flood water images from the social media resources by incorporating with text analysis. A novel image feature descriptor has been developed to facilitate fast image processing based on incorporation of the "Squiral" (Square-Spiral) Image Processing (SIP) framework with the "Speeded-up Robust Features" (SURF). A new approach is proposed to generate an index from image recognition outcomes based on a moving window average, which presents a temporal change based on the occurrence of flooding water identified by image analysis. The evaluation for computation time and recognition were based on a batch of images obtained from the US Federal Emergency Management Agency (FEMA) media library and Facebook corpus from Germany, and the outcomes show the advantages of the proposed image features. The simulation results demonstrate the concept of the index based on a moving window average, highlighting the potential for application in emergency management.

Item Type:Conference contribution (Paper)
Keywords:emergency management, flood event image recognition, fast image processing, social media analysis
Faculties and Schools:Faculty of Computing & Engineering
Faculty of Computing & Engineering > School of Computing and Information Engineering
Faculty of Computing & Engineering > School of Computing and Intelligent Systems
Research Institutes and Groups:Computer Science Research Institute > Intelligent Systems Research Centre
Computer Science Research Institute
Computer Science Research Institute > Information and Communication Engineering
ID Code:37419
Deposited By: Dr Sonya Coleman
Deposited On:10 Apr 2017 13:16
Last Modified:17 Oct 2017 16:28

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