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The CUbRIK Project

                P.Fraternali, M.Tagliasacchi,
             D.Martinenghi, A.Bozzon, I.Catallo,
                 E.Ciceri, F.Nucci, V.Croce,
                 I.S.Altingovde, W.Siberski

08/05/2012                CUbRIK Presentation      0
The CUbRIK project

       36 month large-scale
        integrating project
       partially funded by the
        European Commission’s
        7th Framework ICT
        Programme for
        Research and
        Technological
        Development
       www.cubrikproject.eu



 08/05/2012               CUbRIK Presentation   1
Objectives

    The technical goal of CUbRIK is to build an open
     search platform grounded on four objectives:
        Advance the architecture of multimedia search
        Place humans in the loop
        Open the search box
        Start up a search business ecosystem




 08/05/2012                CUbRIK Presentation           2
Objective: Advance the
architecture of multimedia search

    Multimedia search: coordinated result of three
     main processes:
        Content processing: acquisition, analysis, indexing
         and knowledge extraction from multimedia content
        Query processing: derivation of an information need
         from a user and production of a sensible response
        Feedback processing: quality feedback on the
         appropriateness of search results




 08/05/2012               CUbRIK Presentation              3
Objective: Advance the
architecture of multimedia search

    Objective:
        Content processing, query processing and feedback
         processing phases will be implemented by means of
         independent components
        Components are organized in pipelines
        Each application defines ad-hoc pipelines that provide
         unique multimedia search capabilities in that scenario




 08/05/2012                 CUbRIK Presentation                   4
Objective: Humans in the loop
    Problem: the uncertainty of analysis algorithms leads to
     low confidence results and conflicting opinions on
     automatically extracted features
    Solution: humans have superior capacity for
     understanding the content of audiovisual material
        State of the art: humans replace automatic feature extraction
         processes (human annotations)




        Our contribution: integration of human judgment and algorithms
             Goal: improve the performance of multimedia content processing




                                                                               5
CUbRIK architecture




 08/05/2012       CUbRIK Presentation   6
Human-powered trademark logo
detection demo

    Goal: integrate human and automatic
     computation to increase precision and recall
     w.r.t. fully automatic solutions




 08/05/2012            CUbRIK Presentation          7
Thanks for your attention
                www.cubrikproject.eu




08/05/2012            CUbRIK Presentation   8

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Advance Multimedia Search Architecture CUbRIK Project

  • 1. The CUbRIK Project P.Fraternali, M.Tagliasacchi, D.Martinenghi, A.Bozzon, I.Catallo, E.Ciceri, F.Nucci, V.Croce, I.S.Altingovde, W.Siberski 08/05/2012 CUbRIK Presentation 0
  • 2. The CUbRIK project  36 month large-scale integrating project  partially funded by the European Commission’s 7th Framework ICT Programme for Research and Technological Development  www.cubrikproject.eu 08/05/2012 CUbRIK Presentation 1
  • 3. Objectives  The technical goal of CUbRIK is to build an open search platform grounded on four objectives:  Advance the architecture of multimedia search  Place humans in the loop  Open the search box  Start up a search business ecosystem 08/05/2012 CUbRIK Presentation 2
  • 4. Objective: Advance the architecture of multimedia search  Multimedia search: coordinated result of three main processes:  Content processing: acquisition, analysis, indexing and knowledge extraction from multimedia content  Query processing: derivation of an information need from a user and production of a sensible response  Feedback processing: quality feedback on the appropriateness of search results 08/05/2012 CUbRIK Presentation 3
  • 5. Objective: Advance the architecture of multimedia search  Objective:  Content processing, query processing and feedback processing phases will be implemented by means of independent components  Components are organized in pipelines  Each application defines ad-hoc pipelines that provide unique multimedia search capabilities in that scenario 08/05/2012 CUbRIK Presentation 4
  • 6. Objective: Humans in the loop  Problem: the uncertainty of analysis algorithms leads to low confidence results and conflicting opinions on automatically extracted features  Solution: humans have superior capacity for understanding the content of audiovisual material  State of the art: humans replace automatic feature extraction processes (human annotations)  Our contribution: integration of human judgment and algorithms  Goal: improve the performance of multimedia content processing 5
  • 7. CUbRIK architecture 08/05/2012 CUbRIK Presentation 6
  • 8. Human-powered trademark logo detection demo  Goal: integrate human and automatic computation to increase precision and recall w.r.t. fully automatic solutions 08/05/2012 CUbRIK Presentation 7
  • 9. Thanks for your attention www.cubrikproject.eu 08/05/2012 CUbRIK Presentation 8