EURECOM is a private and non-profit research and teaching institute located in the Sophia Antipolis Technopole in the South of France. EURECOM’s research activity focuses on three domains which have led to the creation of three research departments: Networking & Security, Multimedia Communications, and Mobile Communications. The Multimedia Communications Department at EURECOM has approximately 30 researchers with a research focus on the semantic analysis of multimedia information.

This expertise covers a complete processing chain, from raw signal processing, modeling, up to semantic interpretation and interaction with multimedia content on the Web. We have extensive expertise in research related to multimedia processing and retrieval, and focusing on the challenges of automatic indexing, multimodal analysis and semantic description for exploring large collections of media content using linked data and semantic web technologies. Some of our previous and current projects include: FP6 NoE K-Space (2006-2009), FP6 STREP PorTiVity (2006-2009), AAL-2 ALIAS (2010-2013), FP7 IP LinkedTV (2011-2015), FP7 CSA MediaMixer (2012-2014) and many other National or EIT Digital projects.

We have already produced several software tools for knowledge extraction and multimodal data analysis such as the NERD framework ( for extracting named entities from textual documents, the EventMedia application ( that enables to relive and discover events described on the  web and illustrated with media, the MediaFinder application ( that automatically aggregates and cluster media from status updates shared on 15+ social networks or HyperTED ( that enables to explore any TED talks at the fragment level while getting educational resources hyperlinked to the key topics being discussed in those conferences.

Benoit Huet - Assistant Professor in the multimedia information processing group "Multimedia content analysis and mining is the very core of my research. Enabling machine to automatically extract knowledge and understand what happens in a video still is a major scientific and technological challenge. NexGenTV will offer what is most advanced in this area in the next generation of audio-visual products for the benefit of users and their information need. This is a fantastic opportunity to transforms our laboratory work into everyday technology."
Raphaël Troncy - Assistant Professor in the multimedia information processing group When watching sports events, I love getting players stats. During political debates, I wish to get the pulse of the social media crowd while being able to fact check statements made by the participants. This requires a lot of background knowledge and machine intelligence but this will be soon no Sci-Fi anymore. I'm so glad to be at the origin of the NexGen-TV experience, that will combine cutting-edge information extraction, multimedia analysis and semantic technologies to offer those smart TV companions I