| Autor: |
Colwell, Tess1 (AUTHOR), King, Lindsay2 (AUTHOR) |
| Předmět: |
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| Zdroj: |
Art Documentation: Journal of the Art Libraries Society of North America. Sep2023, Vol. 42 Issue 2, p182-194. 13p. |
| Abstrakt: |
Though digital image collections have superseded analog slide libraries for teaching, and new sources of digital images are constantly improving upon the quality of early digitized slides and their associated metadata, hidden information resides within the "collective collections" that visual resources professionals spent decades building. In this article, the authors explore one such collection of more than 370,000 digital images from varied sources using a tool called PixPlot, which sorts and clusters images according to their algorithmically determined visual similarity rather than metadata. Reflecting on the history of visual resources collections and digital humanities applications for art history, the authors suggest how analytical tools like PixPlot might provide innovative uses for large digital image collections and consider the place of these tools in the new landscape of AI art and algorithms operating on digital images as another variety of Big Data. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Library, Information Science & Technology Abstracts |
| Externí odkaz: |
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