Working with Dr. Claudio Silva and Dr. Lhaylla Crissaff at New York University’s Tandon School of Engineering, we have designed a prototype for a system we have dubbed ARIES for ARt Image Exploration Space. Aries is an interactive image manipulation system that allows for the exploration and organization of fine art images (of paintings, drawings, prints, sculpture, etc.) taken from multiple sources (e.g. websites, digital photographs, scans) in a virtual space. ARIES provides a novel, intuitive interface to explore, annotate, rearrange, and group art images freely in a single workspace environment, using organizational ontologies (collections, etc.) drawn from existing best practices in art history. The system allows for multiple ways to compare images, from using dynamic overlays analogous to a physical light box to advanced image analysis and feature–matching functions available only through computational image processing. Additionally, users may import and export data to and from ARIES.

In this workshop, we will demonstrate the tool’s functionality and participants will be able to work with an open-source BETA version.

LEVEL: Beginner