The adaptation of image-oriented computer vision software in order to facilitate more effective cataloging and discovery of similar but distinct illustrations found within the English Broadside Ballad Archive.
Focusing on the expansive English Broadside Ballad Archive (EBBA), http://ebba.english.ucsb.edu, containing over 2,000 distinct 17th-century woodcut illustrations, our proposed Ballad Illustration Archive (BIA) will allow unprecedented access to these hard-to-access images that are important cultural and artistic productions. Our project will make significant technological inroads through innovative integration of computer vision software and human cataloguing, delivering to the end-user a product which is technically cutting-edge and marked by careful scholarship. It will thus enable enhanced research in multiple humanities disciplines and also make these compelling images available to the interested non-specialist public. Ultimately, we see this project expanding to include a wider variety of early modern illustrations; we also expect it to expand the possibilities for future digital scholarship.