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Multimedia understanding through semantics, computation and learning

Multimedia understanding through semantics, computation and learning

Objective

Due to the convergence of several strands of scientific and technological progress we are witnessing the emergence of unprecedented opportunities for the creation of a knowledge driven society. Indeed, databases are accruing large amounts of complex multimedia documents, networks allow fast and almost ubiquitous access to an abundance of resources and processors have the computational power to perform sophisticated and demanding algorithms.

However, progress is hampered by the sheer amount and diversity of the available data. As a consequence, access can only be efficient if based directly on content and semantics, the extraction and indexing of which is only feasible if achieved automatically. MUSCLE aims at creating and supporting a pan-European Network of Excellence to foster close collaboration between research groups in multimedia data mining on the one hand and machine learning on the other in order to make breakthrough progress towards the following objectives.(i) Harnessing the full potential of machine learning and cross-modal interaction for the (semi-)automatic generation of metadata with high semantic content for multimedia documents.(ii) Applying machine learning for the creation of expressive, context-aware, self-learning, and human centred interfaces that will be able to effectively assist users in the exploration of complex and rich multimedia content.(iii) Improving interoperability and exchangeability of heterogeneous and distributed (meta)data try enabling data descriptions of high semantic content (e.g. ontologies, MPEG7 and XML schemata) an conference schemes that can reason about these at the appropriate levels.(iv) Through dissemination, training and industrial liaison, contribute to the distribution and uptake the technology by relevant end-users such as industry, education, and the service sector.

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Coordinator

GEIE ERCIM

Address

2004, Route Des Lucioles Sophia Antipolis
06410 Biot

France

Administrative Contact

Participants (37)

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ACADEMY OF SCIENCES OF THE CZECH REPUBLIC - INSTITUTE OF INFORMATION THEORY AND AUTOMATION

Czechia

ADVANCED COMPUTER VISION GMBH - ACV

Austria

ALBERT-LUDWIGS-UNIVERSITAET FREIBURG

Germany

ARC SEIBERSDORF RESEARCH GMBH

Austria

ARISTOTLE UNIVERSITY OF THESSALONIKI

Greece

ASSOCIATION POUR LA RECHERCHE ET LE DEVELOPPEMENT DES METHODES ET PROCESSUS INDUSTRIELS

France

BILKENT UNIVERSITESI

Turkey

CENTRE NATIONAL DE LA RECHERCHE SCIENTIFIQUE

France

COMMISSARIAT A L'ENERGIE ATOMIQUE

France

CONSIGLIO NAZIONALE DELLE RICERCHE

Italy

ECOLE NATIONALE SUPERIEURE DE L'ELECTRONIQUE ET DE SES APPLICATIONS

France

FORSCHUNGSVEREIN E-COMMERCE COMPETENCE CENTER - EC3

Austria

FOUNDATION FOR RESEARCH AND TECHNOLOGY - HELLAS

Greece

GROUPE DES ECOLES DES TELECOMMUNICATIONS

France

INSTITUT FUER BILDVERARBEITUNG UND ANGEWANDTE INFORMATIK E.V.

Germany

INSTITUT NATIONAL DE RECHERCHE EN INFORMATIQUE ET EN AUTOMATIQUE

France

INSTITUTE OF COMMUNICATION AND COMPUTER SYSTEMS

Greece

KUNGLIGA TEKNISKA HOEGSKOLAN

Sweden

LTU TECHNOLOGIES

France

MAGYAR TUDOMANYOS AKADEMIA SZAMITASTECHNIKAI ES AUTOMATIZALASI KUTATO INTEZET

Hungary

STICHTING CENTRUM VOOR WISKUNDE EN INFORMATICA

Netherlands

TECHNION - ISRAEL INSTITUTE OF TECHNOLOGY

Israel

TECHNISCHE UNIVERSITAET GRAZ

Austria

TECHNISCHE UNIVERSITAET WIEN

Austria

TEL AVIV UNIVERSITY

Israel

TELECOMMUNICATIONS SYSTEMS INSTITUTE

Greece

THE CHANCELLOR, MASTERS AND SCHOLARS OF THE UNIVERSITY OF CAMBRIDGE

United Kingdom

THE PROVOST FELLOWS AND SCHOLARS OF THE COLLEGE OF THE HOLY AND UNDIVIDED TRINITY OF QUEEN ELIZABETH NEAR DUBLIN

Ireland

THE UNIVERSITY OF SURREY

United Kingdom

UNIVERSITAT POLITECNICA DE CATALUNYA

Spain

UNIVERSITE PARIS VI PIERRE ET MARIE CURIE

France

UNIVERSITE PAUL SABATIER TOULOUSE III

UNIVERSITEIT VAN AMSTERDAM

Netherlands

UNIVERSITY COLLEGE DUBLIN, NATIONAL UNIVERSITY OF IRELAND, DUBLIN

Ireland

UNIVERSITY COLLEGE LONDON

United Kingdom

UNIVERSITY OF ULSTER

United Kingdom

VALTION TEKNILLINEN TUTKIMUSKESKUS

Finland

Project information

Grant agreement ID: 507752

  • Start date

    1 March 2004

  • End date

    29 February 2008

Funded under:

FP6-IST

Coordinated by:

GEIE ERCIM

France