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- publication author rik_van_de_walle.
- publication author joaquim_gabarro_valles.
- publication author me.
- publication author i.
- publication author me.
- publication creator rik_van_de_walle.
- publication creator joaquim_gabarro_valles.
- publication creator me.
- publication creator i.
- publication creator me.
- publication about Annotation.
- publication about Research.
- publication about Metadata.
- publication about World_Wide_Web.
- publication author rik_van_de_walle.
- publication author joaquim_gabarro_valles.
- publication author me.
- publication author i.
- publication author me.
- publication coparticipatesWith rik_van_de_walle.
- publication coparticipatesWith joaquim_gabarro_valles.
- publication coparticipatesWith me.
- publication coparticipatesWith i.
- publication coparticipatesWith me.
- publication type ScholarlyArticle.
- publication type Article.
- publication type Document.
- publication type Document.
- publication type Document.
- publication type Q386724.
- publication type CreativeWork.
- publication type Work.
- publication P50 rik_van_de_walle.
- publication P50 joaquim_gabarro_valles.
- publication P50 me.
- publication P50 i.
- publication P50 me.
- publication maker rik_van_de_walle.
- publication maker joaquim_gabarro_valles.
- publication maker me.
- publication maker i.
- publication maker me.
- publication title "Crowdsourcing Event Detection in YouTube Videos".
- publication isPartOf proceedings_of_the_1st_workshop_on_detection_representation_and_exploitation_of_events_in_the_semantic_web.
- publication name "Crowdsourcing Event Detection in YouTube Videos".
- publication label "Crowdsourcing Event Detection in YouTube Videos".
- publication name "Crowdsourcing Event Detection in YouTube Videos".
- publication topic Annotation.
- publication topic Research.
- publication topic Metadata.
- publication topic World_Wide_Web.
- publication subject Annotation.
- publication subject Research.
- publication subject Metadata.
- publication subject World_Wide_Web.
- publication authorList b0_b3359.
- publication topic Annotation.
- publication topic Research.
- publication topic Metadata.
- publication topic World_Wide_Web.
- publication 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 <video> element, videos are becoming first class citizens on the Web. In this paper we show how events can be detected on-the-fly through crowdsourcing (i) textual, (ii) visual, and (iii) behavioral analysis in YouTube videos, at scale. The main contribution of this paper is a generic crowdsourcing framework for automatic and scalable semantic annotations of HTML5 videos. Eventually, we present our preliminary results using traditional server-based approaches to video event detection as a baseline.".
- publication datePublished "2011".
- publication mainEntityOfPage steiner_derive_2011.
- publication sameAs publication.
- publication isPrimaryTopicOf steiner_derive_2011.
- publication page steiner_derive_2011.