Related Projects


AXMEDIS is an Integrated Framework proeduced by a Project of Research and Development partially founded by the European Commission in IST FP6 and including about 35 partners such as University of Florence, HP, EPFL, FHGIGD, BBC, TEO, ELION, Telcom Italia, ACIT, AFI, TISCALI, University Pompeo Fabra, University of Leeds, EXITECH, XIM, University of Reading, etc. The duty of AXMEDIS is to work on a set of enabling techologies, develop new tools and products and trial them as effective industrial demonstrators.



BOEMIE (Bootstrapping Ontology Evolution with Multimedia Information Extraction) is an IST 6th Framework Programme Project (FP6-027538), partially funded by the European Commission, which has started in March,1 2006. BOEMIE will pave the way towards automation of the process of knowledge acquisition from multimedia content, by introducing the notion of evolving multimedia ontologies, which will be used for the extraction of information from multimedia content in networked sources, both public and proprietary. 


CHORUS is a Coordination Action which aims at creating the conditions of mutual information and cross fertilisation between the projects that will run under Strategic objective 2.6.3  (Advanced search technologies for digital audio-visual content) and beyond the IST initiative. CHORUS workplan includes the set up of a coordination and information exchange platform (cluster meetings, newsletter, website) to enhance the interactions and to invoke discussions between the key players of the IST “Cluster” and thus to stimulate the creation of the European Research Area (ERA).


K-Space integrates leading European research teams in the fields of 'Content-based multimedia analysis', 'Knowledge extraction' and 'Semantic multimedia' to create a Network of Excellence in semantic inference for semi-automatic annotation and retrieval of multimedia content. The aim is to narrow the gap between content descriptors that can be computed automatically by current machines and algorithms, and the richness and subjectivity of semantics in high-level human interpretations of audiovisual media: /The Semantic Gap/


MELISA aims at establishing the infrastructure to support the virtual value chain for sports events broadcasting over wireless and digital television networks, by offering valuable, revenue building services. The platform will provide services for optimal presentation of complex interactive real time video content, for advertisements and an advanced real-time gaming (betting) engine, all linked to the launch of related e-commerce transactions.


NM2 is an Integrated Project of the European Union's 6th Framework Programme Thematic Priority 2 (Information Society Technologies). The project is co-funded by the European Union through the IST programme under FP6. NM2 is running from September 2004 to August 2007 and has an overall budget of about 7.5 million euro. 13 partners from 8 European countries are involved in the project. NM2 unites leading creative and technology experts from across Europe to address a great opportunity for businesses and consumers in the near future: how to develop compelling new media genres, which take advantage of the unique characteristics of broadband networks. The project is creating new production tools for the media industry that allow the easy production of non-linear broadband media genres which can be personalised to suit the preferences of the individual user. Viewers are able to interact directly with the medium and influence what they see and hear according to their personal tastes and wishes.


POLYMNIA is based around four sub-systems: real-time, offline, on-demand and adaptive streaming. The real-time processing sub-system uses video feeds from cameras positioned around the venue to identify and track visitors, record raw footage of their progress and create MPEG-7 metadata describing the footage. The offline processing sub-system performs background processing of footage after it is acquired by the real-time subsystem. The offline subsystem provides support for efficient content-based retrieval of the final edited footage. The on-demand processing sub-system allows new visitors to be registered with the system and creates the final video edit and souvenir DVD when they leave. The adaptive streaming sub-system provides, via the Internet, personalized video streams for friends and family (eVisitors) of the visitor to view live.


REVEAL THIS is an FP6 EU funded STREP project that develops semantics-based content processing technology that: helps people keep up with the explosion of digital content scattered over different platforms (radio, TV, World Wide Web), different media (speech, text, image, video) and different languages (focus on: English and Greek for EU politics and travel); provides users with search, retrieval, categorization, summarisation & translation functionalities for multimedia content, through the use of automatically created semantic indices & links across media.