[visionlist] [CBMI2024] Special Session on "Multimodal Insights for Disaster Risk Management and Applications (MIDRA)" at CBMI 2024

Maria Pegia mpegia at iti.gr
Tue Feb 20 03:40:28 -04 2024

Call for Papers: Special Session on "*Multimodal Insights for Disaster 
Risk Management and Applications*(MIDRA)" at CBMI 2024


21st International Conference on Content-based Multimedia Indexing (CBMI 
18-20 September 2024, Reykjavik, Iceland -https://cbmi2024.org/ 

Disaster management in all its phases from preparedness, prevention, 
response, and recovery is in abundance of multimedia data, including 
valuable assets like satellite images, videos from UAVs or static 
cameras, and social media streams. The value of such multimedia data for 
operational purposes in disaster management is not only useful for civil 
protection agencies but also for the private sector that quantifies 
risk. Indexing data from crisis events presents Big Data challenges due 
to its variety, velocity, volume and veracity for effective analysis and 

The advent of deep learning and multimodal data fusion offers an 
unprecedented opportunity to overcome these challenges and fully unlock 
the potential of disaster event multimedia data. Through the strategic 
utilization of different data modalities, researchers can significantly 
enhance the value of these datasets, uncovering insights that were 
previously beyond reach, giving actionable information and supporting 
real-life decision-making procedures.

This special session actively seeks research papers in the domain of 
multimodal analytics and their applications in the context of crisis 
event monitoring through knowledge extraction and multimedia 
understanding. Emphasis is placed on recognizing the intrinsic value of 
spatial information when integrated with other data modalities.

The special session serves as a collaborative platform for communities 
focused on specific crisis events, such as forest fires, volcano unrest 
or eruption, earthquakes, floods, tsunamis and extreme weather events, 
which have increased significantly due to the climate crisis in our era. 
It fosters the exchange of ideas, methodologies, and software tailored 
to address challenges in these domains, aiming to encourage fruitful 
collaborations and the mutual enrichment of insights and expertise among 
diverse communities.

This special session includes presentation of novel research within the 
following domains:

  * Lifelog computing
  * Urban computing
  * Satellite computing and earth observation
  * Multimodal data fusion
  * Social media

Within these domains, the topics of interest include (but are not 
restricted to):

  * Multimodal analytics and retrieval techniques for crisis event
    multimedia data.
  * Deep learning and neural networks for interpretability,
    understanding, and explainability in artificial intelligence applied
    to natural disasters.
  * Satellite image analysis and fusion with in-situ data for crisis
  * Integration of multimodal data for comprehensive risk assessment.
  * Application of deep learning techniques to derive insights for risk
  * Development of interpretative models for better understanding of
    risk factors.
  * Utilization of diverse data modalities (text, images, sensors) for
    risk management.
  * Implementation of multimodal analytics in predicting and managing
    natural disasters.
  * Application of multimodal insights in insurance risk assessment.
  * Enhanced decision-making through the fusion of geospatial and
    multimedia data.

*Important Dates:*
Submission of papers: 22 March 2024
Notification of acceptance: 3 June 2024
CBMI conference: 18-20 September 2024


  * Maria Pegia, Information Technologies Institute / Centre for
    Research and Technology Hellas, Greece.
  * Ilias Gialampoukidis, Information Technologies Institute / Centre
    for Research and Technology Hellas, Greece.
  * Ioannis Papoutsis, National Observatory of Athens & National
    Technical University of Athens, Greece.
  * Krishna Chandramouli, Venaka Treleaf GbR, Germany.
  * Stefanos Vrochidis, Information Technologies Institute / Centre for
    Research and Technology Hellas, Greece.

Please direct correspondence tomidra at cbmi2024.org <https://cbmi2024.org/>

Maria E. Pegia
Research Associate, PhD Candidate
Multimodal Data Fusion and Analytics Group
Information Technologies Institute, Centre for Research and Technology 
P: +30 6983723088 (WhatsApp) Skype: live:fdf48cf541bc553 Email: 
mpegia at iti.gr L: https://www.linkedin.com/in/maria-eirini-pegia-806895ab/
W: https://m4d.iti.gr | https://mklab.iti.gr

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