The media world is focussing huge concern on the capabilities and potential implications of AI which threatens to outperform humans, not only in laborious production tasks but also in the creative arts. This session examines three aspects of the power of AI to influence the future of media creation. It took place on Friday 15 September at the RAI, Amsterdam, as part of IBC2023. These three papers are available to download via the links below.
First, multi-disciplinary teams from a prestigious institute delve into the future of AI news journalism. Technologists, journalists and editors attempt to predict what an AI-empowered newsroom might look like and the organisational changes that this would imply. How did they feel about the results and how much influence can they really have on the direction of AI? Next, we hear about an advanced Japanese AI technology which aims to benefit those of us with busy lives: a system which can edit a TV programme down to an arbitrarily short duration. We shall see how neural networks rank and edit the most salient segments of video and speech and how these summary videos are already being trialled nationally. Finally, a remarkable AI technology which can identify the nature and intensity of emotion in a dramatic scene and then compose and perform background music to accompany it. Join us to find out how well AI performs both of these challenging tasks - will an IBC audience of sentient humans feel that the music is appropriate?
Momoko Maezawa, Research Engineer - NHK (Japan Broadcasting Corporation)
Momoko Maezawa is a research engineer with the Science & Technology Research Laboratories, NHK (Japan Broadcasting Corporation). She received her bachelor’s and master’s degrees in engineering from Keio University, Japan, in 2017 and 2019 respectively. While in school, she received the Student Encouragement Award of IPSJ (Information Processing Society of Japan) National Convention. After graduation, she joined NHK in 2019. She has been working in the Smart Production Research Division since 2019. She is in charge of developing technology to support production work by applying image analysis AI. She has developed technology using image analysis AI to extract possible images from videos to be used as thumbnails for online contents. She received the Forum on Information Technology Encouragement Award 2020 from IPSJ for her research on this technology. Applying this technology to the production of online contents could boost Internet deployments of various broadcasting programs. Her research interests include computer vision and image processing. She is a member of IPSJ and the Institute of Image Information and Television Engineers (ITE).
Danielle Arets, Prof Journalism and Innovation - Fontys University of Applied Sciences
Danielle Arets is heading the Journalism and Innovation research lab at Fontys University of Applied Sciences/ faculty of Journalism in Tilburg. The research group - consisting of journalism researchers, designers and tech specialists - focuses on journalistic transformation processes, including AI and data-driven journalism, innovative forms of audience-focused work and developing new forms of journalistic storytelling and workflows.
Nick Lodge, Director - Logical Media
Dr Nicolas Lodge has spent his professional career leading the research, development and commercial exploitation of cutting-edge television and advanced media technologies. In this time he has founded very many award-winning European collaborative research consortia and international standardisation activities, notably in: video compression, digital terrestrial TV transmission, audio description, 360° immersive media, virtual human deaf signing, psychovisual phenomena and visual modelling. He also champions technologies for sensory-impaired media users.
Throughout the 1990’s Nick was head of strategic R&D and international standards for the all the UK’s commercial television broadcasters. Throughout most of the next decade he was Chief Executive of ProVision Communications, a high tech wireless media company based in Bristol. Currently, Nick runs his own successful technology consultancy, Lodgical Media. He holds BSc, MBA and PhD degrees and is a Fellow of the Institution of Engineering & Technology and of the Royal Television Society. In 2020 he received a Videonet Lifetime Television Achievement Award recognising his pioneering work in digital terrestrial TV and audio description.
Access and download the papers:
IBC2023 Tech Papers: AI Powered Editorial Systems and Organisational Changes
IBC2023 Tech Papers: AI Image Analysis in Era of Short-time Viewing
IBC2023 Tech Papers: Improved Background Music Fitment in Video Powered by Machine Learning