Centre de documentation
scientifique

Automatic structuring of photographic collections for spatio-temporal monitoring of restoration sites: problem statement and challenges / Laura Willot (2022)  

Public Titre : Automatic structuring of photographic collections for spatio-temporal monitoring of restoration sites: problem statement and challenges Type de document : Article/Communication Auteurs : Laura Willot, Auteur ; D. Vodislav, Auteur ; Livio de Luca, Auteur ; Valérie Gouet-Brunet , Auteur Editeur : International Society for Photogrammetry and Remote Sensing ISPRS Année de publication : 2022 Collection : International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, ISSN 1682-1750 num. 46-2-W1 Projets : Alegoria / Gouet-Brunet, Valérie Conférence : 3D-ARCH 2022, 9th International Workshop 3D-ARCH "3D Virtual Reconstruction and Visualization of Complex Architectures" 02/03/2022 04/03/2022 Mantua Italie OA ISPRS Archives Importance : pp 521 - 528 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Bases de données localisées [Termes IGN] cathédrale [Termes IGN] enrichissement sémantique [Termes IGN] image [Termes IGN] mesure de similitude [Termes IGN] modèle conceptuel de données [Termes IGN] Paris (75) [Termes IGN] patrimoine documentaire [Termes IGN] recherche d'image basée sur le contenu Résumé : (auteur) Over the last decade, a large number of digital documentation projects have demonstrated the potential of image-based modelling of heritage objects in the context of documentation, conservation, and restoration. The inclusion of these emerging methods in the daily monitoring of the activities of a heritage restoration site (context in which hundreds of photographs per day can be acquired by multiple actors, in accordance with several observation and analysis needs) raises new questions at the intersection of big data management, analysis, semantic enrichment, and more generally automatic structuring of this data. In this article, we propose a data model developed around these questions and identify the main challenges to overcome the problem of structuring massive collections of photographs through a review of the available literature on similarity metrics used to organise the pictures based on their content or metadata. This work is realized in the context of the restoration site of the Notre-Dame de Paris cathedral that will be used as the main case study. Numéro de notice : C2022-003 Affiliation des auteurs : UGE-LASTIG+Ext (2020- ) Autre URL associée : vers HAL Thématique : GEOMATIQUE/INFORMATIQUE Nature : Communication nature-HAL : ComAvecCL&ActesPubliésIntl DOI : 10.5194/isprs-archives-xlvi-2-w1- 2022-521-2022 Date de publication en ligne : 25/02/2022 En ligne : https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLVI-2-W1-2022/5 [...] Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=100315