ACTION-TV proposes an innovative mode of user interaction for broadcasting to relax the rigid and passive nature of present broadcasting ecosystems. It has two key aims:
- a group of users can take part in TV shows providing a sense of immersion into the show and seamless engagement with the content;
- users are encouraged to use TV shows as a means of social engagement as well as keeping them and their talents more visible across social circles.
These aims will be achieved by developing an advanced digital media access and delivery platform that enables augmenting traditional audio-visual broadcastings with novel interactivity elements to encourage natural engagement with the content. Mixed-reality technologies will be developed to insert users into pre-recorded content, which will be made ‘responsive’ to users’ actions by ingeniously using a set of auxiliary streams. Potentials of media cloud technologies will be harnessed to personalize ACTION-TV-enabled broadcast content for a group of collaborating users based on their actions. As a result, content producers, for the first time, will be able to generate creative media applications with richer content level user interactivity. Cloud-service providers will be able to monetize their infrastructure through leveraging the increased demand for strategically located in-network media processing. Participating users will be able to share personalized content with their social peers. In this way, end users will have access to more engaging personalized content as well as to socialize themselves with community members having common interests. ACTION-TV supports a range of applications from an individual trying on a garment in a TV advert to a group of users interactively attending a TV talent show with the convenience of staying at home. The ways of utilizing the proposed interactivity concept are large and only limited by the imagination of inspiring content producers.
Fraunhofer HHI is contributing with its expertise on multi-view 3D video analysis, real-time high-quality 3D body reconstruction, tracking and animation of subject-adaptive photorealistic human body models and rendering of life 3D video content in virtual scenes.