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ReTV: Re-Inventing TV for the Interactive Age
  • About
    • Project Overview
    • Partners
    • Related Projects
  • News
    • Blog
    • Events
  • Use Cases
    • Topics Compass: News Discourse Monitoring
    • Content Wizard: Content Adaptation and Publication Online
    • 4U2: Personalised, AI-driven Content
    • Content sWitch: Personalised TV Stream
  • Results
    • Demos
    • Deliverables
    • Publications and Conference Papers
    • Presentations
    • ReTV Webinar
  • DataTV Community
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Oct 30

How AI is Reinventing TV

  • October 30, 2019
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Nicole Emmenegger
Latest posts by Nicole Emmenegger (see all)
  • How AI is Reinventing TV - October 30, 2019
  • Have Your Say – ReTV Stakeholder Meeting, 15 October in Berlin - July 18, 2019

Artificial Intelligence has become a buzzword in academia and industry. Some advances made possible by AI have achieved huge publicity – automatic translation, voice controlled assistants or deepfakes, for example. The multimedia research community has seen more accurate image and video understanding made possible, and the TV and media archives industry is not far behind in exploring how these new AI-powered technologies can help them better understand, find, adapt and re-use their large collections of media assets.

Our first workshop on AI4TV, held at the ACM Multimedia 2019 conference and co-organized with the MeMAD project, brought together around 40 participants interested in these topics. From the ReTV project, Johan Oomen (Sound and Vision) gave a keynote on uses of AI technologies in the Dutch media archive. In the oral papers session, Lyndon Nixon (MODUL Technology) presented work on using AI for TV audience prediction and content recommendation; Vasileios Mezaris (CERTH-ITI) presented work on using AI for automatic video summarization.

These are core functionalities of the tools being developed by ReTV: media organisations can know which content will be most successful when published at what time on which vector, then automatically re-purpose that content for that vector into an optimal form for viewer attention. AI certainly forms part of TV’s future and we hope to hold more scientific events on the combination of AI and TV in the future!

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CONTACT:
Project Coordinator
Lyndon Nixon
MODUL Technology
info(Replace this parenthesis with the @ sign)retv-project.eu

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This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No. 780656.
The European Commission does not guarantee the accuracy of the information and accepts no responsibility or liability whatsoever with regard to the information on this website.

  • About
    ▼
    • Project Overview
    • Partners
    • Related Projects
  • News
    ▼
    • Blog
    • Events
  • Use Cases
    ▼
    • Topics Compass: News Discourse Monitoring
    • Content Wizard: Content Adaptation and Publication Online
    • 4U2: Personalised, AI-driven Content
    • Content sWitch: Personalised TV Stream
  • Results
    ▼
    • Demos
    • Deliverables
    • Publications and Conference Papers
    • Presentations
    • ReTV Webinar
  • DataTV Community
  • Zenodo
  • Contact