Advanced digitisation and AI-powered data processing for Cultural Heritage: the HERITALISE Project

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dc.contributor.authorMatrone, Francescaen_US
dc.contributor.authorChiabrando, Filibertoen_US
dc.contributor.authorLingua, Andrea Mariaen_US
dc.contributor.editorCampana, Stefanoen_US
dc.contributor.editorFerdani, Danieleen_US
dc.contributor.editorGraf, Holgeren_US
dc.contributor.editorGuidi, Gabrieleen_US
dc.contributor.editorHegarty, Zackaryen_US
dc.contributor.editorPescarin, Sofiaen_US
dc.contributor.editorRemondino, Fabioen_US
dc.date.accessioned2025-09-05T21:49:22Z
dc.date.available2025-09-05T21:49:22Z
dc.date.issued2025
dc.description.abstractThe digitisation of cultural heritage assets ensures an accurate digital archive for future generations and serves as a powerful tool for conveying the knowledge and significance of material heritage to the broader public. This contribution presents the overall goals of the HERITALISE project and the foreseen activities, which will combine AI tools for data processing and metadata and paradata creation. NeRF, 3D Gaussian Splatting and LLMs will be involved in the project with different aims ensuring the advancement of digitisation methodologies and standardisation in the cultural heritage field.en_US
dc.description.sectionheadersPosters
dc.description.seriesinformationDigital Heritage
dc.identifier.doi10.2312/dh.20253184
dc.identifier.isbn978-3-03868-277-6
dc.identifier.pages4 pages
dc.identifier.urihttps://doi.org/10.2312/dh.20253184
dc.identifier.urihttps://diglib.eg.org/handle/10.2312/dh20253184
dc.publisherThe Eurographics Associationen_US
dc.rightsAttribution 4.0 International License
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectCCS Concepts: General and reference → Cros-computing tools and techniques → Evaluation; Software and its engineering → Software organization and properties → Extra functional properties → Interoperability; Computing methodologies → Machine learning.
dc.subjectGeneral and reference → Cros
dc.subjectcomputing tools and techniques → Evaluation
dc.subjectSoftware and its engineering → Software organization and properties → Extra functional properties → Interoperability
dc.subjectComputing methodologies → Machine learning.
dc.titleAdvanced digitisation and AI-powered data processing for Cultural Heritage: the HERITALISE Projecten_US
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