Abstract
This survey considers the vision of TV broadcasting where content is personalised and personalisation is data-driven, looks at the AI and data technologies making this possible and surveys the current uptake and usage of those technologies. We examine the current state-of-the-art in standards and best practices for data-driven technologies and identify remaining limitations and gaps for research and innovation. Our hope is that this survey provides an overview of the current state of AI and data-driven technologies for use within broadcasters and media organisations. It also provides a pathway to the needed research and innovation activities to fulfil the vision of data-driven personalisation of TV content.
Original language | English |
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Pages (from-to) | 2193-2225 |
Number of pages | 33 |
Journal | Multimedia Systems |
Volume | 28 |
Issue number | 6 |
Publication status | Published - 23 Apr 2022 |