Wright, C;
Allnut, J;
Campbell, R;
Evans, M;
Forman, R;
Gibson, J;
Jolly, S;
... Shotton, M; + view all
(2018)
AI in Production: Video Analysis and Machine Learning for Expanded Live Events Coverage.
In:
Proceedings of IBC 2018.
IBC: Amsterdam, Netherlands.
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Abstract
In common with many industries, TV and video production is likely to be transformed by Artificial Intelligence (AI) and Machine Learning (ML), with software and algorithms assisting production tasks that, conventionally, could only be carried out by people. Expanded coverage of a diverse range of live events is particularly constrained by the relative scarcity of skilled people, and is a strong use case for AI-based automation. This paper describes recent BBC research into potential production benefits of AI algorithms, using visual analysis and other techniques. Rigging small, static UHD cameras, we have enabled a one-person crew to crop UHD footage in multiple ways and cut between the resulting shots, effectively creating multi-camera HD coverage of events that cannot accommodate a camera crew. By working with programme makers to develop simple deterministic rules and, increasingly, training systems using advanced video analysis, we are developing a system of algorithms to automatically frame, sequence and select shots, and construct acceptable multicamera coverage of previously untelevised types of event.
Type: | Proceedings paper |
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Title: | AI in Production: Video Analysis and Machine Learning for Expanded Live Events Coverage |
Event: | IBC 2018 |
Location: | Amsterdam, Netherlands |
Open access status: | An open access version is available from UCL Discovery |
Publisher version: | https://show.ibc.org/Welcome |
Language: | English |
Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
UCL classification: | UCL UCL > Provost and Vice Provost Offices UCL > Provost and Vice Provost Offices > UCL SLASH UCL > Provost and Vice Provost Offices > UCL SLASH > Faculty of Arts and Humanities |
URI: | https://discovery-pp.ucl.ac.uk/id/eprint/10103780 |
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