Match, Compare, Classify and Annotate: Computer Vision for the Digital Humanities
|Starts:||14:00 4 Jun 2018|
|Ends:||17:00 4 Jun 2018|
|What is it:||Workshop|
|Organiser:||Faculty of Humanities|
|Speaker:||Dr Giles Bergel|
Computer vision has made rapid progress in recent years: computers can now reliably match the same image; find differences in similar images; and classify content within multiple images. Recently (and controversially) computers have also begun to be able to identify subjects, such as people and places. This hands-on session will show how to install and use state-of-the-art open source software from the University of Oxford’s Visual Geometry Group. Attendees will leave the session with the knowledge of how to match, differentiate, classify and annotate content within many kinds of images. The event will also include a short presentation of Dr Guyda Armstrong's Envisioning Dante project, a partnership between the John Rylands Research Institute and the Oxford Seebibyte Research Group which is using these tools to classify and analyse the page design of early printed editions of Dante's Divine Comedy held in the Rylands Special Collections.
Requirements: a laptop or tablet is needed to access online demos. Attendees who would like to try the software on their own laptops will need to install Docker, ideally in advance of the session. There is no need to install the tools yourself or the training data as this will be supplied on the day. To book please go to: https://www.eventbrite.co.uk/e/match-compare-classify-and-annotate-computer-vision-for-the-digital-humanities-tickets-46110976171
This showcase event is offered in association with The John Rylands Research Institute.
Dr Giles Bergel
Role: Digital Humanities Research Fellow, Department of Engineering Science
Travel and Contact Information
Samuel Alexander Building