computer vision

Advertising Gender

In this project, we rely on Computer Vision to examine the representation of gender in historical advertisements

Advertising Gender - Using Computer Vision to Trace Gender Displays in Historical Advertisements, 1920-1990

This study applies computer vision techniques to examine the representation of gender in historical advertisements. Using information on the relative size, position, and gaze of men and women in thousands of images, we chart gender displays in Dutch …

The Leonardo Code: Deciphering 50 Years of Artistic/Scientific Collaboration in the Texts and Images of Leonardo Journal, 1968-2018

This research studies how interactions between art, science, and technology in Leonardo evolved between 1968 and 2018. We use the approximately 3,100 articles and around 7,800 illustrations in the 232 digitized issues of the journal and their …

The visual digital turn: Using neural networks to study historical images

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 allows researchers to use keywords to search and analyze …

ImageTexts: Studying Texts and Images in Conjunction (Poster)

The recent upsurge of large-scale analysis of visual material (Computer Vision) shifts the focus in Digital Humanities research away from texts. However, this has also led researchers to approach text and images as disjointed entities. We analyze …

Seeing History: The Visual Side of the Digital Turn (Best Paper Award)

Scholars are increasingly applying computational methods to analyze the visual aspects of large-scale digitized visual datasets. Inspiring examples are the work of Seguin on visual pattern discovery in large databases of paintings and Moretti’s and …