Digital humanities research has focused primarily on the analysis of texts. This emphasis
stems from the availability of technology to study digitized text. Optical character recognition …

Real-world applications of computer vision in the humanities require algorithms to be robust
against artistic abstraction, peripheral objects, and subtle differences between fine-grained …

What is the most important reason for using Computer Vision methods in humanities
research? In this article, I argue that the use of numerical representation and data analysis …

In the field of Art History, images of artworks and their contexts are core to understanding the
underlying semantic information. However, the highly complex and sophisticated …

The past decade has seen tremendous growth and innovation in the use of digital
resources, methods, and tools in the history of art and architecture. While digital art history is …

Human pose estimation (HPE) is a central part of understanding the visual narration and
body movements of characters depicted in artwork collections, such as Greek vase …

Surprise Machines is a project of experimental museology that sets out to visualize the entire
image collection of the Harvard Art Museums, with a view to opening up unexpected vistas …

The authors of this work believe that the fact that political iconography can influence reality
and intervene in actual eventssometimes by using reinvented motifs and visual narratives …

Digital traces, whether digitized (programs, notebooks, drawings, etc.) or born digital
(emails, websites, video recordings, etc.), constitute a major challenge for the memory of the …

With this book, Emmelyn Butterfield-Rosen brings a new formal and conceptual rubric to the
study of turn-of-the-century modernism, transforming our understanding of the era's …