Communication Dans Un Congrès Année : 2020

The Art Historical Image Collection at Columbia University: Automating Research on its Construction and Creators

Résumé

This paper aims to communicate an ongoing research project conducted at Columbia University’s Media Center for Art History. This on-going project evaluates technologies from artificial intelligence and data science to automate the extraction of image and catalog information from a large image collection held in the department of Art History and Archaeology at Columbia. The project addresses image processing, neural networks, and decision trees to recreate the organization of the collection for which no general catalogue exists and also investigates how the research and publications of the department’s faculty can be linked to the information hidden in the repository of images. The Media Center has successfully used different technologies such as deep learning to study the collection of over 600,000 image assets.

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Dates et versions

hal-03351741 , version 1 (22-09-2021)

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  • HAL Id : hal-03351741 , version 1

Citer

Stefaan van Liefferinge, Gabriel S. Rodriguez, Lisa Peck. The Art Historical Image Collection at Columbia University: Automating Research on its Construction and Creators. DHNord 2020 : The measurement of images. Computational approaches in the history and theory of the arts, Maison Européenne des Sciences de l'Homme et de la Société (MESHS), Nov 2020, Lille, France. ⟨hal-03351741⟩

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