The CUBRIK project: human-enhanced time-aware multimedia search

  • Authors:

  • Piero Fraternali;Marco Tagliasacchi;Davide Martinenghi;Alessandro Bozzon;Ilio Catallo;Eleonora Ciceri;Francesco Nucci;Vincenzo Croce;Ismail Sengor Altingovde;Wolf Siberski;Fausto Giunchiglia;Wolfgang Nejdl;Martha Larson;Ebroul Izquierdo;Petros Daras;Otto Chrons;Ralph Traphoener;Bjoern Decker;John Lomas;Patrick Aichroth;Jasminko Novak;Ghislain Sillaume;F. Sanchez Figueroa;Carolina Salas-Parra

  • Affiliations:

  • Politecnico di Milano, Milano, Italy;Politecnico di Milano, Milano, Italy;Politecnico di Milano, Milano, Italy;Politecnico di Milano, Milano, Italy;Politecnico di Milano, Milano, Italy;Politecnico di Milano, Milano, Italy;Engineering, Roma, Italy;Engineering, Roma, Italy;L3S, Hannover, Germany;L3S, Hannover, Germany;Università di Trento, Trento, Italy;Gottfried Wilhelm Leibniz Universitaet Hannover, Hannover, Germany;Delft University of Technology, Delft, Holland;University of London, London, England UK;CERTH, Thessaloniki, Greece;Microtasks, Tampere, Finland;Attensity, Kaiserslautern, Germany;Attensity, Kaiserslautern, Germany;Nexture, Ivrea, Italy;Fraunhofer IDMT, Ilmenau, Germany;European Institute for Participatory Media, Berlin, Germany;Centre Virtuel de la Connaissance sur l'Europe, Luxembourg, Luxembourg;Homeria, Caceres, Spain;Innovation Engineering, Roma, Italy

  • Venue:
  • Proceedings of the 21st international conference companion on World Wide Web
  • Year:
  • 2012

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Abstract

The Cubrik Project is an Integrated Project of the 7th Framework Programme that aims at contributing to the multimedia search domain by opening the architecture of multimedia search engines to the integration of open source and third party content annotation and query processing components, and by exploiting the contribution of humans and communities in all the phases of multimedia search, from content processing to query processing and relevance feedback processing. The CUBRIK presentation will showcase the architectural concept and scientific background of the project and demonstrate an initial scenario of human-enhanced content and query processing pipeline.