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Crowdsourcing event detection in YouTube videos 58-67
dc.contributor.author | Steiner, Thomas |
dc.contributor.author | Verborgh, Ruben |
dc.contributor.author | Van de Walle, Rik |
dc.contributor.author | Hausenblas, Michael |
dc.contributor.author | Gabarró Vallès, Joaquim |
dc.contributor.other | Universitat Politècnica de Catalunya. Departament de Llenguatges i Sistemes Informàtics |
dc.date.accessioned | 2012-01-23T18:20:06Z |
dc.date.available | 2012-01-23T18:20:06Z |
dc.date.created | 2011 |
dc.date.issued | 2011 |
dc.identifier.citation | Steiner, T. [et al.]. Crowdsourcing event detection in YouTube videos 58-67. A: Detection, Representation, and Exploitation of Events in the Semantic Web. "DeRiVE 2011 Detection, Representation, and Exploitation of Events in the Semantic Web". Bonn: CEUR Workshop Proceedings, 2011, p. 58-67. |
dc.identifier.issn | 1613-0073 |
dc.identifier.uri | http://hdl.handle.net/2117/14753 |
dc.description.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 discuss our preliminary results using traditional server-based approaches to video event detection as a baseline. |
dc.format.extent | 10 p. |
dc.language.iso | eng |
dc.publisher | CEUR Workshop Proceedings |
dc.rights | Attribution-NonCommercial-NoDerivs 3.0 Spain |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/3.0/es/ |
dc.subject | Àrees temàtiques de la UPC::So, imatge i multimèdia::Creació multimèdia::Edició web |
dc.subject | Àrees temàtiques de la UPC::Informàtica |
dc.subject.lcsh | Semantic Web |
dc.title | Crowdsourcing event detection in YouTube videos 58-67 |
dc.type | Conference report |
dc.subject.lemac | Web semàntica |
dc.contributor.group | Universitat Politècnica de Catalunya. ALBCOM - Algorismia, Bioinformàtica, Complexitat i Mètodes Formals |
dc.relation.publisherversion | http://ceur-ws.org/Vol-779/derive2011_submission_8.pdf |
dc.rights.access | Open Access |
local.identifier.drac | 9411634 |
dc.description.version | Postprint (author’s final draft) |
local.citation.author | Steiner, T.; Verborgh, R.; Van de Walle, R.; Hausenblas, M.; Gabarro, J. |
local.citation.contributor | Detection, Representation, and Exploitation of Events in the Semantic Web |
local.citation.pubplace | Bonn |
local.citation.publicationName | DeRiVE 2011 Detection, Representation, and Exploitation of Events in the Semantic Web |
local.citation.startingPage | 58 |
local.citation.endingPage | 67 |