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