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Clasificador de páginas web pornográficas basado en el contenido de las imágenes
dc.contributor.author | Ceballos, William Armando | spa |
dc.contributor.author | Salazar, Luis Eduardo | spa |
dc.contributor.author | Oviedo Carrascal, Ana Isabel | spa |
dc.date.accessioned | 2020-10-27T00:20:47Z | |
dc.date.available | 2020-10-27T00:20:47Z | |
dc.date.issued | 2009-06-01 | |
dc.identifier.issn | 2539-2115 | |
dc.identifier.issn | 1657-2831 | |
dc.identifier.uri | http://hdl.handle.net/20.500.12749/8969 | |
dc.description.abstract | La World Wide Web, o simplemente web, es un sistema lógico de acceso y búsqueda de información disponible en Internet cuyas unidades informativas son las páginas web. La web ha facilitado la publicación de gran cantidad de información accesible desde cualquier lugar del mundo; sin embargo, parte del contenido ofrecido como la pornografía, es considerado inapropiado para algunos usuarios. Para aportar al filtrado de pornografía en la web, este trabajo propone el desarrollo de un clasificador de páginas web basado en la evaluación de las imágenes presentes en el contenido de la página. La evaluación de las imágenes es realizada en tres vías: extracción de características de las regiones de piel, análisis de textura y descriptores de forma de la imagen. Los tres tipos de evaluación del contenido de las imágenes son utilizados para entrenar tres clasificadores con máquinas de soporte vectorial (SVM). Los resultados de clasificación son unidos en un ensamble realizado por un metaclasificador por medio de la siguiente política: si al menos uno de los tres clasificadores concluye que la imagen es pornográfica, entonces la imagen es considerada como tal. Al evaluar todas las imágenes contenidas en una página web, se utiliza la siguiente política: si la página web presenta un porcentaje de imágenes pornográficas superior al 30%, entonces la página es considerada como pornográfica. La implementación realizada es evaluada sobre un conjunto de 5000 páginas web diversas, obteniendo una exactitud del 84.6 % en el reconocimiento de contenido pornográfico a través del contenido de las imágenes. | spa |
dc.format.mimetype | application/pdf | spa |
dc.language.iso | spa | spa |
dc.publisher | Universidad Autónoma de Bucaramanga UNAB | |
dc.relation | https://revistas.unab.edu.co/index.php/rcc/article/view/1135/1105 | |
dc.relation.uri | https://revistas.unab.edu.co/index.php/rcc/article/view/1135 | |
dc.rights | Derechos de autor 2009 Revista Colombiana de Computación | |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-sa/4.0/ | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/2.5/co/ | |
dc.source | Revista Colombiana de Computación; Vol. 10 Núm. 1 (2009): Revista Colombiana de Computación; 26-44 | |
dc.subject | Clasificación de páginas web pornográficas | |
dc.subject | Máquinas de soporte vectorial | |
dc.subject | Detección de pornografía | |
dc.subject | Aprendizaje supervisado | |
dc.subject | Espacios de color | |
dc.title | Clasificador de páginas web pornográficas basado en el contenido de las imágenes | |
dc.title.translated | Sorter of pornographic web pages based on the content of the images | eng |
dc.type.driver | info:eu-repo/semantics/article | |
dc.type.local | Artículo | spa |
dc.type.coar | http://purl.org/coar/resource_type/c_7a1f | |
dc.subject.keywords | Rating of pornographic websites | eng |
dc.subject.keywords | Vector support machines | eng |
dc.subject.keywords | Detection of pornography | eng |
dc.subject.keywords | Supervised learning | eng |
dc.subject.keywords | Color spaces | eng |
dc.subject.keywords | Pornographic web pages classification | eng |
dc.subject.keywords | Support vector machines | eng |
dc.subject.keywords | Supervised learning | eng |
dc.subject.keywords | Colour spaces | eng |
dc.identifier.instname | instname:Universidad Autónoma de Bucaramanga UNAB | spa |
dc.type.hasversion | info:eu-repo/semantics/acceptedVersion | |
dc.rights.accessrights | info:eu-repo/semantics/openAccess | spa |
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dc.contributor.cvlac | Oviedo Carrascal, Ana Isabel [0000636550] | spa |
dc.contributor.googlescholar | Oviedo Carrascal, Ana Isabel [8P8UdrgAAAAJ] | spa |
dc.contributor.orcid | Oviedo Carrascal, Ana Isabel [0000-0002-7105-7819] | spa |
dc.contributor.researchgate | Oviedo Carrascal, Ana Isabel [Ana-Oviedo-Carrascal] | spa |
dc.subject.lemb | Aprendizaje supervisado | spa |
dc.subject.lemb | Máquinas de vectores de soporte | spa |
dc.subject.lemb | Pornografía | spa |
dc.subject.lemb | Espacios de color | spa |
dc.subject.lemb | Paginas web | spa |
dc.identifier.repourl | repourl:https://repository.unab.edu.co | |
dc.description.abstractenglish | The World Wide Web, or web, is an information access and search logic system available on the Internet whose informative units are web pages. The web has facilitated the publication of big amount of information accessible from anywhere in the world; however, part of this content such as pornography is regarded inappropriate for some users. To contribute to the pornography filtering on web, this paper proposes the development of a web pages classifier based on the evaluation of the images present in the webpage content. The images evaluation is done in three ways: features extraction of skin regions, texture analysis and by the shape descriptors of the image. The three types of the images content evaluation are used to train three classifiers with Support Vector Machines (SVM). The results of the SVM classification are put together in an assembly made by a metaclassifier through the following policy: if at least one of the classifiers finds that the image is pornographic, then the image is regarded as such. When assessing all the images contained in a webpage, the next policy is applied: if the webpage present a percentage above 30%, then the webpage is regarded as pornographic. The implementation done is evaluated on a set of 5000 web pages with some information kinds, getting an accuracy of 84.6% in the recognition of pornographic content through the content of the images. | eng |
dc.subject.proposal | Clasificación de páginas web pornográficas | spa |
dc.subject.proposal | Máquinas de soporte vectorial | spa |
dc.subject.proposal | Detección de pornografía | spa |
dc.subject.proposal | Aprendizaje supervisado | spa |
dc.subject.proposal | espacios de color | SPA |
dc.type.redcol | http://purl.org/redcol/resource_type/CJournalArticle | |
dc.rights.creativecommons | Atribución-NoComercial-SinDerivadas 2.5 Colombia | * |