Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/42117
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dc.contributor.authorCastrillón-Santana, Modesto-
dc.contributor.authorLorenzo-Navarro, Javier-
dc.contributor.authorTravieso-González, Carlos M.-
dc.contributor.authorFreire-Obregón, David-
dc.contributor.authorAlonso-Hernández, Jesús B.-
dc.date.accessioned2018-10-10T09:45:26Z-
dc.date.available2018-10-10T09:45:26Z-
dc.date.issued2018-
dc.identifier.issn0167-8655-
dc.identifier.otherWoS-
dc.identifier.urihttp://hdl.handle.net/10553/42117-
dc.description.abstractThe recent evolution of storage devices, digital embedded cameras and the Internet have collaterally allowed sexual predators to take advantage of these technological breakthroughs to gather illegal media, which is exhibited uncensored through Peer-to-Peer file sharing networks. In this paper, we are particularly concerned about the increasing availability of Child Abuse Material. Therefore, we have explored alternatives to detect non-adults in visual content. Initially, different age estimations and underage detection techniques are reviewed by analyzing existing datasets. Finally, several local descriptors and Convolutional Neural Networks for underage detection are evaluated. The experimental results obtained for a large dataset that combines collections such as FG-Net, Adience, GenderChildren, The Image of Groups and Boys2Men evidence the complementary information contained in both local descriptors and neural networks, as their fusion boosts the accuracy of non-adult detection to over 93%.-
dc.languageeng-
dc.relationTIN2015-64395-R-
dc.relation.ispartofPattern Recognition Letters-
dc.sourcePattern Recognition Letters [ISSN 0167-8655], v. 113, p. 10-18-
dc.subject120304 Inteligencia artificial-
dc.subject.otherMSC: 41A05-
dc.subject.otherMSC: 41A10-
dc.subject.otherMSC: 65D05-
dc.subject.otherMSC: 65D17-
dc.subject.otherAge estimation-
dc.subject.otherCNNs-
dc.subject.otherLocal descriptors-
dc.subject.otherScore level fusion-
dc.titleEvaluation of local descriptors and CNNs for non-adult detection in visual content-
dc.typeinfo:eu-repo/semantics/Article-
dc.typeArticle-
dc.identifier.doi10.1016/j.patrec.2017.03.016-
dc.identifier.scopus85016419727-
dc.identifier.isi000447265500003-
dc.contributor.orcid#NODATA#-
dc.contributor.orcid#NODATA#-
dc.contributor.orcid#NODATA#-
dc.contributor.orcid#NODATA#-
dc.contributor.orcid#NODATA#-
dc.contributor.authorscopusid22333278500-
dc.contributor.authorscopusid15042453800-
dc.contributor.authorscopusid6602376272-
dc.contributor.authorscopusid23396618800-
dc.contributor.authorscopusid24774957200-
dc.identifier.eissn1872-7344-
dc.description.lastpage18-
dc.description.firstpage10-
dc.relation.volume113-
dc.investigacionIngeniería y Arquitectura-
dc.type2Artículo-
dc.contributor.daisngid32145428-
dc.contributor.daisngid2489695-
dc.contributor.daisngid265761-
dc.contributor.daisngid3754707-
dc.contributor.daisngid29084685-
dc.description.numberofpages9-
dc.utils.revision-
dc.contributor.wosstandardWOS:Castrillon-Santana, M-
dc.contributor.wosstandardWOS:Lorenzo-Navarro, J-
dc.contributor.wosstandardWOS:Travieso-Gonzalez, CM-
dc.contributor.wosstandardWOS:Freire-Obregon, D-
dc.contributor.wosstandardWOS:Alonso-Hernandez, JB-
dc.date.coverdateOctubre 2018-
dc.identifier.ulpgc-
dc.contributor.buulpgcBU-INF-
dc.description.sjr0,662-
dc.description.jcr2,81-
dc.description.sjrqQ1-
dc.description.jcrqQ2-
dc.description.scieSCIE-
item.fulltextCon texto completo-
item.grantfulltextrestricted-
crisitem.author.deptGIR SIANI: Inteligencia Artificial, Robótica y Oceanografía Computacional-
crisitem.author.deptIU Sistemas Inteligentes y Aplicaciones Numéricas-
crisitem.author.deptDepartamento de Informática y Sistemas-
crisitem.author.deptGIR SIANI: Inteligencia Artificial, Robótica y Oceanografía Computacional-
crisitem.author.deptIU Sistemas Inteligentes y Aplicaciones Numéricas-
crisitem.author.deptDepartamento de Informática y Sistemas-
crisitem.author.deptGIR IDeTIC: División de Procesado Digital de Señales-
crisitem.author.deptIU para el Desarrollo Tecnológico y la Innovación-
crisitem.author.deptDepartamento de Señales y Comunicaciones-
crisitem.author.deptGIR SIANI: Inteligencia Artificial, Robótica y Oceanografía Computacional-
crisitem.author.deptIU Sistemas Inteligentes y Aplicaciones Numéricas-
crisitem.author.deptDepartamento de Informática y Sistemas-
crisitem.author.deptGIR IDeTIC: División de Procesado Digital de Señales-
crisitem.author.deptIU para el Desarrollo Tecnológico y la Innovación-
crisitem.author.deptDepartamento de Señales y Comunicaciones-
crisitem.author.orcid0000-0002-8673-2725-
crisitem.author.orcid0000-0002-2834-2067-
crisitem.author.orcid0000-0002-4621-2768-
crisitem.author.orcid0000-0003-2378-4277-
crisitem.author.orcid0000-0002-7866-585X-
crisitem.author.parentorgIU Sistemas Inteligentes y Aplicaciones Numéricas-
crisitem.author.parentorgIU Sistemas Inteligentes y Aplicaciones Numéricas-
crisitem.author.parentorgIU para el Desarrollo Tecnológico y la Innovación-
crisitem.author.parentorgIU Sistemas Inteligentes y Aplicaciones Numéricas-
crisitem.author.parentorgIU para el Desarrollo Tecnológico y la Innovación-
crisitem.author.fullNameCastrillón Santana, Modesto Fernando-
crisitem.author.fullNameLorenzo Navarro, José Javier-
crisitem.author.fullNameTravieso González, Carlos Manuel-
crisitem.author.fullNameFreire Obregón, David Sebastián-
crisitem.author.fullNameAlonso Hernández, Jesús Bernardino-
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