Conference paper Open Access

A Multi-Layer Fusion Approach For Real-Time Fire Severity Assessment Based on Multimedia Incidents

Gerasimos Antzoulatos; Panagiotis Giannakeris; Ilias Koulalis; Anastasios Karakostas; Stefanos Vrochidis; Ioannis Kompatsiaris

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@proceedings{gerasimos_antzoulatos_2020_3701479,
  title        = {{A Multi-Layer Fusion Approach For Real-Time Fire 
                   Severity Assessment Based on Multimedia Incidents}},
  year         = 2020,
  publisher    = {Zenodo},
  month        = mar,
  doi          = {10.5281/zenodo.3701479},
  url          = {https://doi.org/10.5281/zenodo.3701479}
}
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Publication date:
March 9, 2020
DOI:
10.5281/zenodo.3701479

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Keyword(s):
Crisis Management Real-Time Fire Severity Assessment Image Recognition Object Detection Semantic Segmentation
Grants:
European Commission:
  • beAWARE - Enhancing decision support and management services in extreme weather climate events (700475)
  • aqua3S - Enhancing Standardisation strategies to integrate innovative technologies for Safety and Security in existing water networks (832876)
Meeting:
17th International Conference on Information Systems for Crisis Response and Management (ISCRAM 2020), Blacksburg, Virginia, USA, May 24, 2020 - May 27, 202 (Session Track 1 - AI Systems for Crisis and Risks)
License (for files):
Creative Commons Attribution 4.0 International

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