CMC - Hilversum Zoekmachines UvA

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    Notes on slide 1

    Groen geeft aantal inschrijvingen aan, blauw aantal daadwerkelijke submissies.

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    CMC - Hilversum Zoekmachines UvA - Presentation Transcript

    1. The Intelligent Systems Lab the University of Amsterdam Arnold Smeulders Maarten de Rijke
    2. Why science in creative industry?
    3. What we do: information mining News:  1,000,000,000 items Professional:  B&G archive has 700,000 hrs + 10,000 hrs / yr.  Disney holds 8,000,000 hrs footage. Consumers:  YouTube uploads 10,000,000 hrs video / yr Surveillance:  Archives hold 1,000,000,000 hrs video
    4.  
    5. What is in the middle?
    6. How it works
    7. World search engine competition
    8. Automatic search
    9. Interactive browsers
    10.  
    11. Why research on rushes summarization?
    12. Concept check
      • Rushes:
        • Unedited tapes, many takes of the same scene
      • International competition:
        • Make summarization of 2 minutes of a tape of 30 minutes
        • Scientifically challenging
        • Not for sale?
      • Will the resulting software be used in industry?
        • Why (not)?
    13.  
    14. Het web als waarzegger Stemmingen, impact, stakeholders
    15. 1
    16. Stemmingsinstrumenten
    17. 2
    18. Impact
      • Voorspel wat een nieuwsartikel “gaat doen”
      • Impact ~ aantal commentaren op online fora
      • Twee smaken
        • Voorspel voorafgaand aan publicatie
        • Voorspel kort na publicatie
    19. 3
    20. Stakeholders
      • Wie hoort bij welk onderwerp?
        • Academische experts
        • Politici
        • Discussiefora
        • Het nieuws

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