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 |