JISC

Digging into Data to Answer Authorship Related Questions seeks to explore authorship studies of visual arts through computational image analyses. Utilising three datasets of visual works — 15th-century manuscripts, 17th- and 18th-century maps, and 19th-and 21st-century quilts — to investigate what might be revealed about the authors and their artistic lineages by comparing manuscripts, maps, and quilts across four centuries, the project investigates the accuracy and computational scalability of adaptive image analyses when they are applied to diverse collections of image data.