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Authors: Marco Vernier ; Manuela Farinosi and Gian Luca Foresti

Affiliation: University of Udine, Italy

ISBN: 978-989-758-175-5

Keyword(s): Twitter, Geo-data, Data-mining, Event Detection, Situation Awareness, Panoramic Image, Smart Visualization.

Related Ontology Subjects/Areas/Topics: Applications and Services ; Computer Vision, Visualization and Computer Graphics ; Image Formation and Preprocessing ; Image Formation, Acquisition Devices and Sensors ; Mobile Imaging

Abstract: In the last years, social media have grown in popularity with millions of users that everyday produce and share online digital content. This practice reveals to be particularly useful in extra-ordinary context, such as during a disaster, when the data posted by people can be integrated with traditional emergency management tools and used for event detection and hyperlocal situational awareness. In this contribution, we present SVISAT, an innovative visualization system for Twitter data mining, expressly conceived for signaling in real time a given event through the uploading and sharing of visual information (i.e., photos). Using geodata, it allows to display on a map the wide area where the event is happening, showing at the same time the most popular hashtags adopted by people to spread the tweets and the most relevant images/photos which describe the event itself.

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Paper citation in several formats:
Vernier, M.; Farinosi, M. and Foresti, G. (2016). A Smart Visual Information Tool for Situational Awareness.In Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 3: VISAPP, (VISIGRAPP 2016) ISBN 978-989-758-175-5, pages 236-245. DOI: 10.5220/0005680402360245

@conference{visapp16,
author={Marco Vernier. and Manuela Farinosi. and Gian Luca Foresti.},
title={A Smart Visual Information Tool for Situational Awareness},
booktitle={Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 3: VISAPP, (VISIGRAPP 2016)},
year={2016},
pages={236-245},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005680402360245},
isbn={978-989-758-175-5},
}

TY - CONF

JO - Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 3: VISAPP, (VISIGRAPP 2016)
TI - A Smart Visual Information Tool for Situational Awareness
SN - 978-989-758-175-5
AU - Vernier, M.
AU - Farinosi, M.
AU - Foresti, G.
PY - 2016
SP - 236
EP - 245
DO - 10.5220/0005680402360245

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