Crowdsourcing Event Detection in YouTube Videos Thomas Steiner1 , Ruben Verborgh2 , Rik Van de Walle2 , Michael Hausenblas3 , and Joaquim Gabarró Vallés1 1

3

Universitat Politécnica de Catalunya – Department LSI 08034 Barcelona, Spain {tsteiner,gabarro}@lsi.upc.edu 2 Ghent University – IBBT, ELIS – Multimedia Lab Gaston Crommenlaan 8 bus 201, B-9050 Ledeberg-Ghent, Belgium {ruben.verborgh,rik.vandewalle}@ugent.be DERI, NUI Galway IDA Business Park, Lower Dangan Galway, Ireland [email protected]

Abstract. Considerable efforts have been put into making video content on the Web more accessible, searchable, and navigable by research on both textual and visual analysis of the actual video content and the accompanying metadata. Nevertheless, most of the time, videos are opaque objects in websites. With Web browsers gaining more support for the HTML5

Crowdsourcing Event Detection in YouTube Videos - CEUR Workshop ...

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