RT info:eu-repo/semantics/conferenceObject
T1 Applying Deep Learning Techniques to Cultural Heritage Images Within the INCEPTION Project
A1 Llamas Fernández, José María
A1 Martín Lerones, Pedro
A1 Zalama Casanova, Eduardo
A1 Gómez García-Bermejo, Jaime
K1 Patrimonio cultural
K1 Información electrónica
AB 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.
PB Springer International Publishing AG
SN 978-3-319-48974-2
YR 2016
FD 2016
LK http://uvadoc.uva.es/handle/10324/21074
UL http://uvadoc.uva.es/handle/10324/21074
LA eng
NO 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
NO Producción Científica
DS UVaDOC
RD 24-dic-2024