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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Formato: | Articulo |
Lenguaje: | Inglés |
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2018
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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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I19-R120-10915-71622 |
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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 |
work_keys_str_mv |
AT loorfernando processingcollectionsofgeoreferencedimagesfornaturaldisasters AT gilcostaveronica processingcollectionsofgeoreferencedimagesfornaturaldisasters AT marinmauricio processingcollectionsofgeoreferencedimagesfornaturaldisasters AT loorfernando procesamientodecoleccionesdeimagenesgeorreferenciadaspradesastresnaturales AT gilcostaveronica procesamientodecoleccionesdeimagenesgeorreferenciadaspradesastresnaturales AT marinmauricio procesamientodecoleccionesdeimagenesgeorreferenciadaspradesastresnaturales |
bdutipo_str |
Repositorios |
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1764820482607022081 |