How computer vision can facilitate flood management: A systematic review

U Iqbal, P Perez, W Li, J Barthelemy - International Journal of Disaster Risk …, 2021 - Elsevier
Better prediction and monitoring of flood events are key factors contributing to the reduction
of their impact on local communities and infrastructure assets. Flood management involves …

Extraction and analysis of natural disaster-related VGI from social media: review, opportunities and challenges

Y Feng, X Huang, M Sester - International Journal of Geographical …, 2022 - Taylor & Francis
The idea of 'citizen as sensors' has gradually become a reality over the past decade. Today,
Volunteered Geographic Information (VGI) from citizens is highly involved in acquiring …

Natural disasters detection in social media and satellite imagery: a survey

N Said, K Ahmad, M Riegler, K Pogorelov… - Multimedia Tools and …, 2019 - Springer
The analysis of natural disaster-related multimedia content got great attention in recent
years. Being one of the most important sources of information, social media have been …

Flood severity mapping from Volunteered Geographic Information by interpreting water level from images containing people: A case study of Hurricane Harvey

Y Feng, C Brenner, M Sester - ISPRS Journal of Photogrammetry and …, 2020 - Elsevier
With increasing urbanization, in recent years there has been a growing interest and need in
monitoring and analyzing urban flood events. Social media, as a new data source, can …

Automatic detection of passable roads after floods in remote sensed and social media data

K Ahmad, K Pogorelov, M Riegler… - Signal Processing …, 2019 - Elsevier
This paper addresses the problem of floods classification and floods aftermath detection
based on both social media and satellite imagery. Automatic detection of disasters such as …

Social media and satellites: Disaster event detection, linking and summarization

K Ahmad, K Pogorelov, M Riegler, N Conci… - Multimedia Tools and …, 2019 - Springer
Being able to automatically link social media and satellite imagery holds large opportunities
for research, with a potentially considerable impact on society. The possibility of integrating …

Edge-based lightweight selective encryption scheme for digital medical images

OA Khashan, M AlShaikh - Multimedia Tools and Applications, 2020 - Springer
Securing digital medical images is increasingly becoming a major concern due to the rapid
growth of the amount of medical images transferred over a network and stored on the web …

How deep features have improved event recognition in multimedia: A survey

K Ahmad, N Conci - ACM Transactions on Multimedia Computing …, 2019 - dl.acm.org
Event recognition is one of the areas in multimedia that is attracting great attention of
researchers. Being applicable in a wide range of applications, from personal to collective …

Assessing flood severity from crowdsourced social media photos with deep neural networks

J Pereira, J Monteiro, J Silva, J Estima… - Multimedia Tools and …, 2020 - Springer
The use of social media data in disaster and crisis management is increasing rapidly.
Particularly in connection to flooding events, geo-referenced images shared by citizens can …

A comparative study of global and deep features for the analysis of user-generated natural disaster related images

K Ahmad, A Sohail, N Conci… - 2018 IEEE 13th image …, 2018 - ieeexplore.ieee.org
The paper addresses the problem of adverse events (natural disasters) recognition in user-
generated images from social media, addressing the problem from two complementary …