How computer vision can facilitate flood management: A systematic review
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 …
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
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 …
Volunteered Geographic Information (VGI) from citizens is highly involved in acquiring …
Natural disasters detection in social media and satellite imagery: a survey
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 …
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
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 …
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
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 …
based on both social media and satellite imagery. Automatic detection of disasters such as …
Social media and satellites: Disaster event detection, linking and summarization
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 …
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 …
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
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 …
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
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 …
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
The paper addresses the problem of adverse events (natural disasters) recognition in user-
generated images from social media, addressing the problem from two complementary …
generated images from social media, addressing the problem from two complementary …