ARIES: Enabling Visual Exploration and Organization of Art Image Collections

Lhaylla Crissaff (1) , Louisa Wood Ruby (2) , Samantha Deutch (2) , R. Luke Dubois (3) , Jean-Daniel Fekete (4) , Juliana Freire (3) , Claudio Silva (3)

1 Mathematics Department [Fluminense]
2 The Frick Collection
3 Computer Science and Engineering Department [NYU Tandon School of Engineering]
4 AVIZ - Analysis and Visualization

Art historians have traditionally used physical light boxes to prepare exhibits or curate collections. On a light box, they can place slides or printed images, move the images around at will, group them as desired, and visually compare them. The transition to digital images has rendered this workflow obsolete. Now, art historians lack well-designed, unified interactive software tools that effectively support the operations they perform with physical light boxes. To address this problem, we designed ARIES (ARt Image Exploration Space), an interactive image manipulation system that enables the exploration and organization of fine digital art. The system allows images to be compared in multiple ways, offering dynamic overlays analogous to a physical light box, and supporting advanced image comparisons and feature-matching functions, available through computational image processing. We demonstrate the effectiveness of our system to support art historians' tasks through real use cases.

Mots clés: User Experience; User Interaction; Art History; Image Collections; Lightbox

Domaines: Interface homme-machine [cs.HC]

Lhaylla Crissaff, Louisa Wood Ruby, Samantha Deutch, R. Luke Dubois, Jean-Daniel Fekete, et al.. ARIES: Enabling Visual Exploration and Organization of Art Image Collections. IEEE Computer Graphics and Applications, 2017, pp.12. ⟨10.1109/MCG.2017.377152546⟩. ⟨hal-01612775⟩