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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)
26 Downloads (Pure)

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.
Original languageEnglish
Title of host publicationUnknown Host Publication
PublisherIEEE
Pages805-810
Number of pages6
ISBN (Print)978-1-5090-0990-9
DOIs
Publication statusE-pub ahead of print - 15 Dec 2016
Event11th International Conference on Availability, Reliability and Security (ARES), 2016 - Austria
Duration: 15 Dec 2016 → …

Workshop

Workshop11th International Conference on Availability, Reliability and Security (ARES), 2016
Period15/12/16 → …

Keywords

  • emergency management
  • flood event image recognition
  • fast image processing
  • social media analysis

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