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Crowdsourcing Event Detection in YouTube Videos Thomas Steiner1 , Ruben Verborgh2 , Rik Van de Walle2 , Michael Hausenblas3 , and Joaquim Gabarró Vallés1 1 3
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Document Date: 2011-09-21 04:17:10


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File Size: 1,54 MB

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Madrid / San Francisco / New York / Honolulu / London / /

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Wired / Google / YouTube / ACTA Press / IEEE Press / W3C Media Annotation Working Group / Patterson / Multimedia Systems / /

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United States / Spain / United Kingdom / Norway / /

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We store / University of Tromsø / Ghent University / /

IndustryTerm

Web analysis solution / Web browsers / Web application / feature extraction algorithms / background technologies / Online crowdsourcing / shot detection algorithms / vision-based algorithm / Web Citizen / interactive Web application / keyword-based search / event /

NaturalFeature

Imagery Streams / /

Organization

University of Tromsø / Universitat Politécnica de Catalunya / Multimedia Lab / Ghent University / /

Person

David Cameron / Randy Pausch / Jens Stoltenberg / Van de Walle / Van Leuven / Jeff Howe / Gaston Crommenlaan / /

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Prime Minister / Actor / Official / representative / Introduction Official / /

ProgrammingLanguage

HTML / JavaScript / /

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New York / /

PublishedMedium

Lecture Notes in Computer Science / /

Technology

vision-based algorithm / feature extraction algorithms / streaming video / HTML / digital video / Image Processing / background technologies / pdf / shot detection algorithms / Natural Language Processing / Web technologies / smartphones / Semantic Web technologies / http / DOM / Resource Description Framework / RDF / visual analysis-based shot detection algorithm / /

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http /

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