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Video Summarization And Video Highlight Selection Tools To Facilitate Fire Incident Management
Florian Vandecasteele
author
Krishna Kumar
author
Kenzo Milleville
author
Steven Verstockt
author
2019
Iscram
Valencia, Spain
English
This paper reports on the added value of combining different types of sensor data and geographic information for fire incident management. A survey was launched within the Belgian fire community to explore the need of added value and the use of new types of sensor data during a fire incident. This evaluation revealed that people are visually-oriented and that video footages and images are of great value to gain insights in a particular problem. However, due to the limited available time (i.e., fast decisions need to be taken) and the large amount of cameras it is not feasible to analyze all video footages sequentially. To solve this problem we propose a video summarization mechanism and a video highlight selection tool based on the automatic generated image and video tags.
machine learning
video data
filtering
crisis management
user-evaluation
exported from refbase (http://idl.iscram.org/show.php?record=1857), last updated on Fri, 22 Nov 2019 10:31:49 +0100
text
http://idl.iscram.org/files/florianvandecasteele/2019/1857_FlorianVandecasteele_etal2019.pdf
FlorianVandecasteele_etal2019
Proceedings of the 16th International Conference on Information Systems for Crisis Response And Management
Iscram 2019
Franco
Z
editor
González
J
J
editor
Canós
J
H
editor
16th International Conference on Information Systems for Crisis Response and Management (ISCRAM 2019)
2019
Iscram
Valencia, Spain
conference publication
978-84-09-10498-7
2411-3387
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