Abstract

Visual stylometry is a new interdisciplinary research field that sits at the junction of digital humanities, empirical aesthetics, and computer science. Research in this field employs image analysis algorithms to study key aspects of artistic style. The nature of artistic style is the subject of ongoing debate within art history and philosophy of art. Computational and statistical methods in visual stylometry allow researchers to quantify and compare aspects of artistic style over the course of the career of an individual artist, among artists who share in a common artistic style, and across different schools of art. The results of these studies provide clues to the image features that enable viewers to categorize works as belonging to different artistic styles. We have developed a system that can act as an open access laboratory for visual stylometry. This approach is powerful enough to support advanced academic research in computer science, cognitive science, art history, and the philosophy of art while at the same time providing a user friendly interface accessible to students and researchers with little or no computer science background. Our framework is designed around the idea of scientific workflows. Scientific workflows allow users to build executable analyses in the same way they would draw a flowchart, by dragging objects representing data sets and image analysis procedures onto the work-space and drawing links between them. These workflows and data sets can be exported using open standards as web objects that can then be shared or modified by other users. Our platform, Workflows for the Analysis of Images in Visual Stylometry (WAIVS), has the potential to promote computational literacy and data analytic skills among humanities students, to introduce science students to research in art and the humanities, to explore the nature of artistic style and its role in our understanding of artwork, and to help researchers in cognitive science understand how viewers perceptually categorize, recognize, and otherwise engage with artworks.