Processing Collections of Geo-Referenced Images for Natural Disasters

After disaster strikes, emergency response teams need to work fast. In this context, crowdsourcing has emerged as a powerful mechanism where volunteers can help to process different tasks such as processing complex images using labeling and classification techniques. In this work we propose to addr...

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Autores principales: Loor, Fernando, Gil-Costa, Verónica, Marín, Mauricio
Formato: Articulo
Lenguaje:Inglés
Publicado: 2018
Materias:
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/71622
http://journal.info.unlp.edu.ar/JCST/article/view/1123
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id I19-R120-10915-71622
record_format dspace
institution Universidad Nacional de La Plata
institution_str I-19
repository_str R-120
collection SEDICI (UNLP)
language Inglés
topic Ciencias Informáticas
geo-referenced images
support platforms for natural disaster
P2P network
spellingShingle Ciencias Informáticas
geo-referenced images
support platforms for natural disaster
P2P network
Loor, Fernando
Gil-Costa, Verónica
Marín, Mauricio
Processing Collections of Geo-Referenced Images for Natural Disasters
topic_facet Ciencias Informáticas
geo-referenced images
support platforms for natural disaster
P2P network
description After disaster strikes, emergency response teams need to work fast. In this context, crowdsourcing has emerged as a powerful mechanism where volunteers can help to process different tasks such as processing complex images using labeling and classification techniques. In this work we propose to address the problem of how to efficiently process large volumes of georeferenced images using crowdsourcing in the context of high risk such as natural disasters. Research on citizen science and crowdsourcing indicates that volunteers should be able to contribute in a useful way with a limited time to a project, supported by the results of usability studies. We present the design of a platform for real-time processing of georeferenced images. In particular, we focus on the interaction between the crowdsourcing server and the volunteers connected to a P2P network.
format Articulo
Articulo
author Loor, Fernando
Gil-Costa, Verónica
Marín, Mauricio
author_facet Loor, Fernando
Gil-Costa, Verónica
Marín, Mauricio
author_sort Loor, Fernando
title Processing Collections of Geo-Referenced Images for Natural Disasters
title_short Processing Collections of Geo-Referenced Images for Natural Disasters
title_full Processing Collections of Geo-Referenced Images for Natural Disasters
title_fullStr Processing Collections of Geo-Referenced Images for Natural Disasters
title_full_unstemmed Processing Collections of Geo-Referenced Images for Natural Disasters
title_sort processing collections of geo-referenced images for natural disasters
publishDate 2018
url http://sedici.unlp.edu.ar/handle/10915/71622
http://journal.info.unlp.edu.ar/JCST/article/view/1123
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AT gilcostaveronica procesamientodecoleccionesdeimagenesgeorreferenciadaspradesastresnaturales
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