Multimodal Insights for Disaster Risk Management and Applications (MIDRA) Call for Papers

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

https://cbmi2024.org/?page_id=100#MIDRA

21st International Conference on Content-based Multimedia Indexing (CBMI 2024).
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 retrieval.

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 management.
    Integration of multimodal data for comprehensive risk assessment.
    Application of deep learning techniques to derive insights for risk mitigation.
    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

Organisers:

    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 to midra@cbmi2024.org