Published April 23, 2022 | Version v1
Journal article Open

Data-driven personalisation of Television Content: A Survey

  • 1. MODUL Technology
  • 2. Birmingham City University
  • 3. CERTH-ITI

Description

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.

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Additional details

Funding

ReTV – Enhancing and Re-Purposing TV Content for Trans-Vector Engagement 780656
European Commission
AI4Media – A European Excellence Centre for Media, Society and Democracy 951911
European Commission