ViSTA-TV is a EU-funded research project which is applying real-time data mining techniques to IPTV and Radio audience and programme data.
Project from 2012 - 2014
What we are doing
Live video content is increasingly consumed over IP networks in addition to traditional broadcasting. The move to IP provides the opportunity to discover what people are watching in much greater breadth and depth than currently possible through interviews and set-top box based data gathering.
The goal of is to exploit this data for the benefit of broadcasters, viewers and third-parties.
Why it matters
IPTV provides the possibility that viewing could become a more social and interactive experience. However, the large number of available channels means that browsing schedules has become time-consuming and tiresome.
Our Goals
- To help people find interesting TV programmes
- To provide a real-time view of audience interest and activity
- To gain a better understanding of viewer behaviour
Outcomes
- Real-time viewer analytics
- Personalised TV recommendations
- Linked open data about TV programmes
How it works
will collect anonymised viewing data, media streams and enhanced electronic program guide information and perform a real-time data mining analysis.
The analysis will extract features, such as tags, and behavioural attributes which can be used to generate personalised recommendations, aggregate statistics and linked data.
