New Method for Museum Archiving: “Quantitative Analysis Meets Art History”

Abstract

As museums are encouraged to explore new ways to generate digital content, and quantitative methods are being used to suggest new angles and important analysis tools for art-historical research and museum archives. Recent advances in digital image processing provide valuable data to describe the content of an artwork and support all the parties concerned with the authentication, appreciation, preservation, and archiving of artworks. Particularly, identification of artist-specific indicia or classification of the artistic style of paintings must be performed for indexing large artwork databases. Thus, we determined primary criteria based on feature-based analysis and suggested a new archiving framework for applications that enable collection, management, and visualization of artworks.