Seeing is Believing: Computer vision and machine learning for image collections

Giles 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 the University of Oxford.

You can listen to Seeing is Believing: Computer vision and machine learning for image collections online on Radio and Podcast. Open the player on this page to stream the available audio.

Seeing is Believing: Computer vision and machine learning for image collections is an episode from Digital Humanities at Oxford Summer School by Oxford University.

This episode is 51:21 long.

This episode was published on Jul 5, 2017.

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