This special session addresses the processing of all types of data related to cultural heritage. As stated by UNESCO, cultural heritage provides societies with a wealth of resources inherited from the past and created in the present for the benefit of future generations. It includes tangible (built and natural environments, artifacts) and intangible (such as traditions, language, and knowledge) heritage. The objective of this session is to bring together the various communities and the latest research dedicated to cultural heritage data on different aspects, from their acquisition up to their restitution, including retrieval, structuring, interactions, interfaces, analysis, etc.
For various applications, we will address the presentation of generic methods and their application to cultural heritage, as well as dedicated approaches designed to deal with such content. Non-exhaustively, we will consider:
Content-based multimedia indexing and retrieval
Deep representations in adverse conditions
Generative models for cultural heritage
Ontology and semantic web for cultural heritage
Knowledge-driven machine learning
Multi-source and multimodal visualization
Spatio-temporal analysis
Large-scale multimedia database management
Bench-marking, Open Data Movement
The panel of applications targeted is large, including:
Analysis, archeometry of artifacts
Diagnosis and monitoring for restoration and preventive conservation
Geosciences / Geomatics for cultural heritage
Analysis of the evolution of the territory
Education
Smart and sustainable tourism
Digital Twins
Contacts
Sylvie Treuillet, PRISME, Université d’Orléans (sylvie.treuillet@univ-orleans.fr)
Valérie Gouet-Brunet, LASTIG, IGN, Université Gustave Eiffel (valerie.gouet@ign.fr)