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Por favor, use este identificador para citar o enlazar este ítem: http://uvadoc.uva.es/handle/10324/21074
Título: Applying Deep Learning Techniques to Cultural Heritage Images Within the INCEPTION Project
Autor: Llamas, José
Lerones, Pedro M.
Zalama Casanova, Eduardo
Gómez García -Bermejo, Jaime
Congreso: EuroMed 2016: Digital Heritage. Progress in Cultural Heritage: Documentation, Preservation, and Protection. Part I
Año del Documento: 2016
Editorial: Springer International Publishing AG
Descripción: Producción Científica
Documento Fuente: Marinos Ioannides, Eleanor Fink, Antonia Moropoulou, Monika Hagedorn-Saupe, Antonella Fresa, Gunnar Liestøl, Vlatka Rajcic, Pierre Grussenmeyer (Eds.). EuroMed 2016: Digital Heritage. Progress in Cultural Heritage: Documentation, Preservation, and Protection. Nicosia, Cyprus, 31 october – 5 november, 2016. Springer International publishing, 2016
Resumen: The digital documentation of cultural heritage (CH) often requires interpretation and classification of a huge amount of images. The INCEPTION European project focuses on the development of tools and methodologies for obtaining 3D models of cultural heritage assets, enriched by semantic information and integration of both parts on a new H-BIM (Heritage - Building Information Modeling) platform. In this sense, the availability of automated techniques that allow the interpretation of photos and the search using semantic terms would greatly facilitate the work to develop the project. In this article the use of deep learning techniques, specifically the convolutional neural networks (CNNs) for analyzing images of cultural heritage is assessed. It is considered that the application of these techniques can make a significant contribution to the objectives sought in the INCEPTION project and, more generally, the digital documentation of cultural heritage.
Materias (normalizadas): Patrimonio cultural
Información electrónica
ISBN: 978-3-319-48974-2
DOI: 10.1007/978-3-319-48974-2_4
Patrocinador: Junta de Castilla y León (Programa de apoyo a proyectos de investigación-Ref. VA036U14)
Junta de Castilla y León (programa de apoyo a proyectos de investigación - Ref. VA013A12-2)
Ministerio de Economía, Industria y Competitividad (Grant DPI2014-56500-R)
Version del Editor: http://rd.springer.com/chapter/10.1007/978-3-319-48974-2_4
Idioma: eng
URI: http://uvadoc.uva.es/handle/10324/21074
Derechos: info:eu-repo/semantics/openAccess
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