MESH aims to extract, compare and combine content from multiple multimedia news sources, automatically create advanced personalised multimedia summaries, syndicate summaries and content based on the extracted semantic information, and provide end users with a “multimedia mesh” news navigation system.

Ontology, Knowledge Representation, Semantics, Annotation, Multimedia Analysis, Reasoning.

SYNC3 aspires to provide the means by which all people will be able to take part in the formation of public opinion in a broader scale than the boundaries of narrow social surroundings permit.

Knowledge Representation, Text Analysis, Annotation, Interactive User Interface.

The main objective of WeKnowIt is to develop novel techniques for exploiting multiple layers of intelligence from user-contributed content, which together constitute Collective Intelligence, a form of intelligence that emerges from the collaboration and competition among many individuals, and that seemingly has a mind of its own.

User Annotation, Image and Audio Processing.

The main objective of IMAGINATION was to bring digital cultural and scientific resources closer to their users, by making user interaction image-based and context-aware. The aim was to enable image-based navigation for digital cultural and scientific resources.

Automatic Annotation, Image and Text Processing.

JUMAS envisages a system for the embedded semantic extraction from multimedia data that join into an advanced knowledge management system. Moreover JUMAS is tailored at managing those situations in which multiple cameras and audio-sources are used to record assemblies in which people debate and event sequences need to semantically reconstruct for future consultation.

Automatic Annotation, Transcription and Multimedia Analysis.

iMP will create architecture, workflow and applications for intelligent metadata-driven processing and distribution of digital movies and entertainment. The goal is to enable a 'Virtual Film Factory' in which creative professionals can work together to create and customize programmes from Petabyte-scale digital repositories, using semantic technologies to organize data and drive its processing.

Video Post-Production.

INSEMTIVES is about bridging the gap between human and computational intelligence and providing incentives for users to contribute to the massive creation of semantic content.

Human and Machine intelligence combination, Semi-automatic annotation.