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What can users do for multimedia?
 

What can users do for multimedia?

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This is an invited presentation at the Content-based Multimedia Indexing (CBMI) workshop 2009, in Chania, Greece, June 2009 ...

This is an invited presentation at the Content-based Multimedia Indexing (CBMI) workshop 2009, in Chania, Greece, June 2009

http://www.cbmi2009.org/practitioner

It focusses on the results of the PrestoPrime and NoTube projects

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    What can users do for multimedia? What can users do for multimedia? Presentation Transcript

    • What can users do for multimedia? Lora Aroyo 5 June 2009 Crete, Greece 7 th International Workshop on Content-Based Multimedia Indexing (CBMI 2009): Practitioner Session: Multimedia Content Access
    • Semantics for Multimedia Access
      • Semantic & annotation search in enriched museum collections
        • incompleteness, inconsistencies, duplicates
        • multinlingual search, alternative spelling, synonyms, link to background knowledge
      • User involvement in video tagging
        • multinlingual tags, spelling, synonyms, related tags
      • Semantic recommendations of enriched TV content and advertisements
    • Big Picture: Metadata
    • Step 1a: Metadata & Enrichment
      • E-Culture: ClioPatria Open Source
      http://e-culture.multimedian.nl/software/ClioPatria.shtml http://e-culture.multimedian.nl/resources/datacloud/
    • Step 1b: Metadata & Enrichment
      • NoTube vocabularies:
        • VU event ontology, BBC event ontology, OntoMedia
        • FOAF, World of Trust, SKOS
        • IMDB, BBC Music Ontology, BBC Program Ontology
        • XMLTV, TVAnytime
      • PrestoPrime vocabularies:
        • Sound & Vision GTAA
        • BBC lonclass
    •  BBC MMVIII
    • Big Picture: Tagging
    • Waisda? Video Tagging Game teachOf/ studentOf Accuracy Serendipity Frequency
    • www.waisda.nl
    • www.waisda.nl
    • www.waisda.nl most used tags discovered tags highest scored tags
    • Big Picture: Annotations
    • Annotation with multiple thesauri
      • Rijksmuseum Amsterdam
      • Print Room Online
      • 700.000 prints, drawings, photographs
    •  
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    • Issues of annotation with multiple vocabularies
      • vocabularies are : large, heterogenous and overlap ( semantic interoperability required )
      • interface is challenged for: large coverage & effective presentation of results
      • images vs videos :
        • videos segmentation
        • annotation per segment
        • aggregate all the annotations together
        • previous segments (context for suggestions and disambiguation)
    • Big Picture: Recommendations
      • Personalized semantic news
      • Personalized TV guide with adaptive advertising
      • Internet TV in the Social Web
    •  
    • Contextualized Content Selection
    •  
    •  
    • SKOS, FOAF & Dublin Core
    • iFanzy: enriched Web TV guide www.ifanzy.nl
    • iFanzy: enriched STB TV guide www.ifanzy.nl
    • Internet TV in Social Web Friends following this event Friends following this event Friends following this event Friends following this event That was never a corner.. Billy Friends following this event
    • Internet TV in Social Web Friends following this event That was never a corner.. Billy Friends following this event Tom Full screen Friends following this event
    • Bean counter & Recommender
    • Recommendation Explanations
    • Acknowledgements
      • Kamil Afsar
      • Pieter Bellekens
      • Dan Brickley
      • Maarten Brinkerink
      • Rahul Choudhury
      • Annelies van Ees
      • Michiel Hildebrandt
      • Geert-Jan Houben
      • Peter Gorgels
      • Riste Gligorov
      • Annelies Kaptein
      • Johan Oomen
      • Jacco van Ossenbruggen
      • Guus Schreiber
      • Natalia Stash
      • Just Vervaart
      • Yiwen Wang
    • for more info
      • http://notube.tv
      • http://e-culture.multimedian.nl/demo
      • http://prestoprime.eu
      • http://waisda.nl
      • [email_address]
      • Lora Aroyo