Technological improvements have resulted in a large-scale digitization effort in recent years, leading to the increasing availability of large digitized art collections. This provides an opportunity to develop AI systems capable of understanding art, thus supporting art historians and enjoying culture more generally. This paper briefly reviews our ongoing project on automatic art heritage analysis through AI. In particular, new graph representation learning approaches, combined with computer vision, are investigated to handle the complexity of visual arts.
Automatic analysis of artistic heritage through Artificial Intelligence
Giovanna Castellano;Raffaele Scaringi
;Gennaro Vessio
2023-01-01
Abstract
Technological improvements have resulted in a large-scale digitization effort in recent years, leading to the increasing availability of large digitized art collections. This provides an opportunity to develop AI systems capable of understanding art, thus supporting art historians and enjoying culture more generally. This paper briefly reviews our ongoing project on automatic art heritage analysis through AI. In particular, new graph representation learning approaches, combined with computer vision, are investigated to handle the complexity of visual arts.File in questo prodotto:
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