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Deep-Learning Technology for Book Conservation Assessment in Libraries and Archives

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Abstract

One of the primary goals of Libraries and Archives is the conservation of their collections in order to pass them on to future generations. The large number of books kept in storage makes this task particularly challenging. Artificial intelligence offers the possibility of processing large volumes of data in a short period of time, but this technology has not been used for book conservation. A team of artificial intelligence scientists and one conservator is now developing a tool to automatically assess the conservation state of a binding at any given time.
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Dates and versions

hal-03620294 , version 1 (25-03-2022)

Identifiers

  • HAL Id : hal-03620294 , version 1

Cite

Valérie Lee, Lahcen Yamoun, Michel Jordan, Camille Simon Chane, David Picard, et al.. Deep-Learning Technology for Book Conservation Assessment in Libraries and Archives. Un patrimoine pour l'avenir, une science pour le patrimoine, Mar 2022, Paris, France. ⟨hal-03620294⟩
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