Shows
Digital Humanities at Oxford Summer SchoolSeeing is Believing: Computer vision and machine learning for image collectionsGiles Bergel gives a talk on using new technologies to understand the history of books and printing. The first point of access for image collections has traditionally been the catalogue. Recent advances in computer vision and machine learning have opened up new ways of describing, searching and researching the visual record. This talk will outline the state of the art in the field, demonstrate some recent applications, and provide pathways for participants who wish to apply these techniques to their own materials.
Giles Bergel is Digital Humanities Research Fellow for the Seebibyte project in the Department of Engineering Sciences at...2017-07-0551 min
Cultural Connections: exchanging knowledge and widening participation in the Humanities13.Bodleian Ballads Online: engagement for performance, teaching and research.Cultural Connections talk by Giles Bergel. Part of the Digital Humanities @ Oxford Summer School 2013.2013-08-0809 minCultural Connections: exchanging knowledge and widening participation in the Humanities13.Bodleian Ballads Online: engagement for performance, teaching and research.Cultural Connections talk by Giles Bergel. Part of the Digital Humanities @ Oxford Summer School 2013.2013-08-0809 min
The Bodleian Libraries (BODcasts)Image Matching on Printed Images in Bodleian CollectionsGiles Bergel and Andrew Zisserman from the Broadside Ballad Connections project demonstrate new image matching software that allows researchers to track images across early forms of printed literature. Visit http://ballads.bodleian.ox.ac.uk/.2012-12-1319 minThe Bodleian Libraries (BODcasts)Image Matching on Printed Images in Bodleian CollectionsGiles Bergel and Andrew Zisserman from the Broadside Ballad Connections project demonstrate new image matching software that allows researchers to track images across early forms of printed literature. Visit http://ballads.bodleian.ox.ac.uk/.2012-12-1319 min