Seen by Machine: Machine learning in the BBC Archive 

Department of Digital Humanities, King's College London

Can we programme machines to find value in moving imagery? Discussing an experiment with the BBC's archive, Daniel Chávez Heras (King’s College London) will show and introduce elements from the video projecct <A HREF="https://emea01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.bbc.co.uk%2Fprogrammes%2Fb0bhwk3p&data=01%7C01%7CMercedes.bunz%40kcl.ac.uk%7C72eb8dd3d4a84064422708d657085e31%7C8370cf1416f34c16b83c724071654356%7C0&sdata=tJgqWKI%2FNxbU3stK8P9k0IcmdxBjL062sE7kjz7vNkg%3D&reserved=0" TARGET="_blank" DATA-MSYS-CLICKTRACK="0" REL="nofollow noopener noreferrer">Made by Machine: When AI met the Archive</A>. Together with a team of researchers at BBC R&D, they created a television programme from archive footage using different machine learning techniques.
Daniel will show a selection of clips from the programme and will critically examine the methods used to produce them. Through these examples, he will introduce the idea of computational spectatorship as a way to understand how our visual regimes are increasingly mediated by machine-seers. Can audiovisual archives be considered “cultural big data” and are moving images like any other type of data?
 
Bio Daniel has been working with pictures and computers, in various capacities, for over ten years. He trained as a designer, back in his native Mexico, and has worked professionally in print media, television, and digital. In 2010 he was awarded a Jumex fellowship for the study of contemporary art, and he holds an MA in Film Studies from King’s College London, where he is now trying to train computers to watch films for his PhD at the department of digital humanities. Daniel’s research is funded by Mexico’s Ministry of Education through its Science and Technology Research Council (CONACYT).
 
This event is part of an ongoing seminar series on "critical inquiry with and about the digital" hosted by the <A HREF="https://www.kcl.ac.uk/artshums/depts/ddh/index.aspx" TARGET="_blank" DATA-MSYS-CLICKTRACK="0" REL="nofollow noopener noreferrer">Department of Digital Humanities, King's College London</A>. If you tweet about the event you can use the <A HREF="https://twitter.com/hashtag/kingsdh" TARGET="_blank" DATA-MSYS-CLICKTRACK="0" REL="nofollow noopener noreferrer">#kingsdh</A>hashtag or mention <A HREF="https://twitter.com/kingsDH" TARGET="_blank" DATA-MSYS-CLICKTRACK="0" REL="nofollow noopener noreferrer">@kingsdh</A>. If you'd like to get notifications of future events you can sign up to <A HREF="https://mailman.kcl.ac.uk/mailman/listinfo/kingsdh-events" TARGET="_blank" DATA-MSYS-CLICKTRACK="0" REL="nofollow noopener noreferrer">this mailing list</A>.

King's College London

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Seen by Machine: Machine learning in the BBC Archive

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