Objectif The SIMAC project addresses the study and development of components for a music information retrieval system including extensive usage of semantic descriptors of musical content. These descriptors are automatically generated in two ways: as derivations and combinations of lower- leveI descriptors and also as generalizations induced from annotated databases by the intensive application of data mining techniques. The project aims also towards the understanding and empowering of music consumption behaviours, especially of those that are guided by the concept of similarity.The gained knowledge about all this (semantic descriptors, similarity, collection organization, retrieval patterns, etc.), regarding users as individuals but also as members of organized communities, will become operational as prototypes for annotating music items and collections, for organizing - sonically and visually- music collections, and for interacting with them in ways that will add value to owned music.These inter-connectable components will be devised, developed, and tested in connection with real communities of music consumers organized around peer-to-peer networks. For executing this project, the SI MAC Consortium has managed to merge complementary partners that cover different facets of the scientific, technical and commercial skills involved in the area of music technologies -i.e. internationally recognized research centers in audio signal processing (Queen Mary University of London-UK), music content processing (FundacioUniversität Rompeu Fabra- E), and artificial intelligence and its musical applications (Austrian Research Institute for Artificial Intelligence-AT), which will join forces with industrial partners dealing with electronic devices (Philips Research-NL), music collections, and meta-data exploitation (Matrix Data-UK). Champ scientifique natural sciencescomputer and information sciencesartificial intelligencenatural sciencescomputer and information sciencesdatabasesnatural sciencescomputer and information sciencesdata sciencedata miningnatural sciencesphysical sciencesacousticshumanitiesartsmusicology Programme(s) FP6-IST - Information Society Technologies: thematic priority under the specific programme "Integrating and strengthening the European research area" (2002-2006). Thème(s) IST-2002-2.3.1.7 - Semantic-based knowledge systems Appel à propositions Data not available Régime de financement STREP - Specific Targeted Research Project Coordinateur FUNDACIO BARCELONA MEDIA UNIVERSITAT POMPEU FABRA Contribution de l’UE Aucune donnée Adresse PLAZA DE LA MERCE 10-12 08002 BARCELONA Espagne Voir sur la carte Coût total Aucune donnée Participants (4) Trier par ordre alphabétique Trier par contribution de l’UE Tout développer Tout réduire MATRIX-DATA LIMITED Royaume-Uni Contribution de l’UE Aucune donnée Adresse NEW LONDON HOUSE 172 DRURY LANE WC2B 5QR LONDON Voir sur la carte Coût total Aucune donnée OESTERREICHISCHE STUDIENGESELLSCHAFT FUER KYBERNETIK Autriche Contribution de l’UE Aucune donnée Adresse FREYUNG 6/6/7 1010 WIEN Voir sur la carte Coût total Aucune donnée PHILIPS ELECTRONICS NEDERLAND B.V. Pays-Bas Contribution de l’UE Aucune donnée Adresse BOSCHDIJK 525 5621 JG EINDHOVEN Voir sur la carte Coût total Aucune donnée QUEEN MARY AND WESTFIELD COLLEGE, UNIVERSITY OF LONDON Royaume-Uni Contribution de l’UE Aucune donnée Adresse MILE END ROAD E1 4NS LONDON Voir sur la carte Coût total Aucune donnée
