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

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

2 Citations (Scopus)

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.
LanguageEnglish
Title of host publicationUnknown Host Publication
Pages805-810
Number of pages6
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 → …

Fingerprint

Image analysis
Image processing
Image recognition
Security systems
Water

Keywords

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

Cite this

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title = "The Application of Social Media Image Analysis to an Emergency Management System",
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.",
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author = "Min Jing and Scotney Bryan and SA Coleman and TM McGinnity",
year = "2016",
month = "12",
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doi = "10.1109/ARES.2016.24",
language = "English",
isbn = "978-1-5090-0990-9",
pages = "805--810",
booktitle = "Unknown Host Publication",

}

Jing, M, Bryan, S, Coleman, SA & McGinnity, TM 2016, The Application of Social Media Image Analysis to an Emergency Management System. in Unknown Host Publication. pp. 805-810, 11th International Conference on Availability, Reliability and Security (ARES), 2016, 15/12/16. https://doi.org/10.1109/ARES.2016.24

The Application of Social Media Image Analysis to an Emergency Management System. / Jing, Min; Bryan, Scotney; Coleman, SA; McGinnity, TM.

Unknown Host Publication. 2016. p. 805-810.

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

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AB - 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.

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