Description du projet Content analytics and language technologiesDiscovering hidden meaning in raw multimedia is a huge challenge. MICO is developing the tools and methods to extract and exploit this hidden knowledge. Afficher les objectifs du projet Masquer les objectifs du projet With the tremendous increase in multimedia content on the Web and in corporate intranets, discovering hidden meaning in raw multimedia is becoming one of the biggest challenges. Analysing multimedia content is still in its infancy, requires expert knowledge, and the few available products are associated with excessive price tags, while still not delivering sufficient quality for many tasks. This makes it almost impossible for normal companies, particularly SMEs, to make use of this technology. Also, analysis components typically operate in isolation and do not consider the context (e.g. embedding text) of a media resource. MICO addresses these problems as follows:- it will consider "media in cross-media context", allowing to analyse media resources as well as connected content, including video, images, audio, text, link structure and metadata- it will investigate cross-media analysis along the complete, distributed analysis chain, namely extraction, metadata publishing, querying and recommendations- it will develop harmonized models and software services for orchestration of analysis components, representing and publishing of analysis results, and querying and evaluating such results- it will contribute its main software development results as Open Source components to two established Apache projects, Apache Marmotta and Apache Stanbol, simplifying the use of the technology in industrial productsThe technology will be evaluated in two complementary use cases: crowd sourcing for academic research at Zooniverse (most successful crowd science platform) and video sharing at KIT digital (one of the biggest enterprise video sharing providers). Through its involvement in the Apache Software Foundation, the project partners will reach out to many technology companies and have access to a large community already at the beginning of the project. Publishing the main results as Open Source will enable particularly SMEs to benefit from cross-media analysis technology. Champ scientifique natural sciencescomputer and information sciencessoftwaresoftware development Programme(s) FP7-ICT - Specific Programme "Cooperation": Information and communication technologies Thème(s) ICT-2013.4.1 - Content analytics and language technologies Appel à propositions FP7-ICT-2013-10 Voir d’autres projets de cet appel Régime de financement CP - Collaborative project (generic) Coordinateur SALZBURG RESEARCH FORSCHUNGSGESELLSCHAFT M.B.H. Contribution de l’UE € 855 250,00 Adresse JAKOB HARINGER STRASSE 5 5020 Salzburg Autriche Voir sur la carte Région Westösterreich Salzburg Salzburg und Umgebung Type d’activité Research Organisations Contact administratif Ursula Atzlinger (Ms.) Liens Contacter l’organisation Opens in new window Site web Opens in new window Coût total Aucune donnée Participants (6) Trier par ordre alphabétique Trier par contribution de l’UE Tout développer Tout réduire FRAUNHOFER GESELLSCHAFT ZUR FORDERUNG DER ANGEWANDTEN FORSCHUNG EV Allemagne Contribution de l’UE € 660 740,00 Adresse HANSASTRASSE 27C 80686 Munchen Voir sur la carte Région Bayern Oberbayern München, Kreisfreie Stadt Type d’activité Research Organisations Contact administratif Andrea Zeumann (Ms.) Liens Contacter l’organisation Opens in new window Site web Opens in new window Coût total Aucune donnée UNIVERSITAT PASSAU Allemagne Contribution de l’UE € 598 992,00 Adresse INNSTRASSE 41 94032 Passau Voir sur la carte Région Bayern Niederbayern Passau, Kreisfreie Stadt Type d’activité Higher or Secondary Education Establishments Contact administratif Sabine Wiendl (Ms.) Liens Contacter l’organisation Opens in new window Site web Opens in new window Coût total Aucune donnée Insideout10 S.r.l. 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