DataTV 2019

1st International Workshop on Data-driven Personalisation of Television

at the ACM International Conference on Interactive Experiences for Television and Online Video (TVX 2019), June 5, 2019
Manchester UK

Proceedings now published online at:


The aim of the DataTV 2019 workshop will be to address the increasing importance and relevance of richly granular and semantically expressive data about TV content in the media value chain. Such data needs extraction, modelling and management before it can be meaningfully reused in new, innovative services for TV content such as:

  • - Content Summarization (e.g. to provide highlights of a program according to a specific user, theme or channel)
  • - Recommendation and Scheduling across Publication Channels (Broadcast, Streaming, Social Networks)
  • - In Stream Personalisation of Content (both spatial and temporal modification of text, audio, video)
  • - The workshop will solicit latest research and development in all areas of data creation and management for TV content and aims to support the growth of a community of researchers and practitioners interested in data value for personalised TV

Topics for the workshop include:
  • - Curation of this data throughout the media value chain, e.g. use of the MPEG Value Chain Ontology
  • - Matching of TV content data with user profiles for recommendation or personalisation (respecting data privacy and security)
  • - Tools and services for the composition of personalised TV, including object based media, making use of TV content data (e.g. creation of video summaries or alternative content versions, recommendation of auxiliary assets for delivery alongside TV content, dynamic insertion or modification of media in streams)


DataTV 2019 foresees two types of submission, full papers which will have an oral presentation at the workshop and short papers which may be presented as either a poster or a demo at the workshop:

  • - Full papers (7 000-9 000 words in New SIGCHI Proceedings Format with 150 word abstract) describing original research, to be presented in the oral session, which covers at least one of the workshop topics. We expect papers to show data-driven solutions which are completed or close to completion.
  • - Short papers (3 500-5 500 words in New SIGCHI Proceedings Format with 150 word abstract) describing works in progress or demos, to be included in the poster and demo session. Please specifically provide links to the work that will be presented and outline in the short paper why this is relevant to the topic of Data-driven TV as well as identify if the submission is for a poster or a demo to be shown at the workshop. We expect new concepts and early work-in-progress to be reported here.



  • Submission deadline: April 10, 2019 April 24, 2019(extended) 
  • Notifications of acceptance (TBC): 1 May 2019 


  • 09:00-09:10 Opening by the co-chairs: logistics, agenda, a brief outline goals of the workshop by one of the chairs
  • 09:10-10:00 Keynote talks:
    • Speaker 1: Matthew Brooks, BBC R&D (Object Based Media)
    • Speaker 2: Lyndon Nixon, MODUL Technology (Trans Vector Platform)
  • 10:00-10:20 Presentation: Personalization of Object-based Audio for Accessibility using Narrative Importance (Ben G Shirley, Lauren Ward and Emmanouil Theofanis Chourdakis)
  • 10:20-10:40 Presentation: MPEG Intellectual Property Rights Ontologies for Media Trading and Personalization (Panos Kudumakis, Thomas Wilmering, Mark Sandler and Jeremy Foss)
  • 10:40-11:00 Coffee break
  • 11:00-11:20 Open session for demos
  • 11:20-11:40 Presentation: The Virtual Director Concept: Data-Driven Adaptation and Personalization for Live Video Streams (Rene Kaiser)
  • 11:40-12:00 Presentation: The Trans-Vector Platform for optimised Re-purposing and Re-publication of TV Content (Lyndon Nixon, Miggi Zwicklbauer, Lizzy Komen and Basil Philipp)
  • 12:00-12:20 Presentation: Stream Recommendation using Individual Hyper-Parameters (Bruno Veloso, Benedita Malheiro and Jerry Foss)
  • 12:20-13:00 Closing discussion: what next for data-driven personalisation of TV?

Keynote talk abstracts:

Speaker 1: Matthew Brooks, BBC R&D
StoryFormer is a cloud-based tool for creating responsive stories, built by BBC Research & Development. Responsive storytelling uses an object-based media approach that allows the contents of a programme to change according to the requirements of each viewer. StoryFormer aims to enable anyone with an idea for a responsive story to be able to create it quickly and easily, without the need for coding. In this session, you'll learn about the principles behind StoryFormer, and the potential it has to bring meaningful interactivity and personalisation to media experiences.

Speaker 2: Lyndon Nixon, MODUL Technology
The ReTV project is building a platform that aggregates data about TV programming in order to give functionality to media organizations that optimises the reach of their future content publications. In this keynote, we briefly consider the potential for future TV when we can offer dynamic adaptation of media streams to insert content personalized to the viewer, automatic recommendation of the most relevant programming in broadcaster archives or schedules as well as video summarization emphasizing the topics of most interest to the audience.


Jeremy Foss, Birmingham City University, UK
Lyndon Nixon, MODUL Technology GmbH, Austria
Ben Shirley, University of Salford, UK
Basil Philipp, Genistat AG, Switzerland
Benedita Malheiro, Porto Polytechnic. Portugal
Vasileios Mezaris, CERTH-ITI, Greece
Sara Kepplinger, Fraunhofer IDMT, Germany
Alexandre Ulisses, MOG, Portugal

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