Faculty of Science, Technology and Medicine
Faculty of Law, Economics and Finance
Faculty of Humanities, Education and Social Sciences
Interdisciplinary Centre for Security, Reliability and Trust
Luxembourg Centre for Systems Biomedicine
Luxembourg Centre for Contemporary and Digital History
Luxembourg Centre for European Law
Luxembourg Centre for Socio-Environmental SystemsAAA – Augmented Artwork Analysis. Computer-aided interpretation device for art images
An application designed to be used in front of a painting in a museum – for an enhanced experience of the work of art, for an active relation with the images.
The project at a glance
-
Start date:01 Mar 2021
-
Duration in months:48
-
Funding:FNR / Agence Nationale de la Recherche
-
Principal Investigator(s):Gian Maria TorePierluigi Basso (external)
About
Today, we are surrounded by images – but the school system does not teach us how to read them. Museums work on their conservation, although unhappily they do not seem very attractive to us. On the other hand, the digital is supposed to revolutionize our life, since it seems to give us all kind of power on images and texts, but how to make a groundbreaking approach to images out of it?
“Augmented Artwork Analysis” is an innovative prototype tool, adapted to the museum sector (namely the MNHA of Luxembourg, the Fine Arts Museums of Lyon and of Lille) and allowing to interpret artistic images with the help of software. The aim is to study the different levels (the figures, the colours, the shapes…) of the work of art considered in its original place and within a vast body of images. Attention will be paid to the links between the images and to their evolution. The interpretation thus acquires a scientific dimension, as well as a pedagogical one.
The scientific objective is to bring together the most advanced approaches in quantitative and in qualitative sciences: recent findings in Visual Studies, knowledge about “augmented reality”, i.e. the ways in which computer-generated perceptual information showcases objects of the real world, and methods based on “deep learning”, which means the use of machine learning methods. An international network of more than 20 scholars is gathered for the realization of the “Augmented Artwork Analysis”. Delivering an “augmented” work of art, this tool will be used for guided tours, educational meetings and research. The idea is to create an alternative museum to the traditional museums, and thus a new awareness of the meanings of the world of images.
The project is a cooperation between the French CNRS, the Université Lyon 2, the Université de Liège and the University of Luxembourg funded by the ANR/FNR funding program
Project Team
Principal Investigators
Art History / Semiotics Main Researchers
Roxanne LOOS
Guest Professor / Post-doctoral researcher on the “Augmented Artwork Analysis”, UCLouvain – Saint-Louis Bruxelles
Art History & Visual Semiotics
LMCCD Team
- Thibaut LATOUR
- Pierre DE LA CELLE
- Jessica MELDON
- Ludovic KIEFFER
Tess MASCLEF
PhD in Computer Science/Deep Learning and image processing, Université Lumière Lyon 2
Sofiane DOULFAQUAR
Assistant engineer in data processing, production and analysis, Université Lumière Lyon 2
Université de Liège
University of Luxembourg
Université Lumière Lyon 2
Organisation and Partners
- Department of Humanities
- Faculty of Humanities, Education and Social Sciences (FHSE)
- Institute of Romance Studies, Media and Arts
- Luxembourg Centre for Contemporary and Digital History (C2DH)
- Université Lumière Lyon 2
- Musée National d'Histoire et d'Art du Luxembourg (MNHA)
- Université de Liège
- Palais des Beaux-Arts de Lille
- Université Catholique de Louvain
- Musée des Beaux-Arts de Lyon