Clustering for the Analysis and Enrichment of Corpus of Images for the Spatio-temporal Monitoring of Restoration Sites - Archive ouverte HAL Access content directly
Conference Papers Year : 2023

Clustering for the Analysis and Enrichment of Corpus of Images for the Spatio-temporal Monitoring of Restoration Sites

Abstract

After the fire that took place in the cathedral Notre-Dame de Paris, a Scientific research group composed of 9 Working Groups was set up to study the building. With the aim of creating a digital ecosystem for spatio-temporal monitoring of a restoration site, efforts have been put to develop methodologies for data management and enrichment. In line with this approach, this work focuses on the exploration, analysis and enrichment of a corpus of images and annotations of the cathedral, with regards to their temporal, spatial and semantic aspects, in addition to their visual content. Using prevailing clustering methods focusing on different criteria, we obtained several clusters of images from which new information can be inferred. By exploring these complementary aspects, we identified similarity links between the images. Further work will focus on multimodal analyses of the corpus.
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Dates and versions

hal-04283568 , version 1 (24-11-2023)

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Laura Willot, Dan Vodislav, Valerie Gouet-Brunet, Livio De Luca, Adeline Manuel. Clustering for the Analysis and Enrichment of Corpus of Images for the Spatio-temporal Monitoring of Restoration Sites. 5th Workshop on AnalySis, Understanding and ProMotion of HeritAge Contents (SUMAC '23), ACM Multimedia 2023, Nov 2023, Ottawa, Canada. pp.39-47, ⟨10.1145/3607542.3617353⟩. ⟨hal-04283568⟩
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