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dc.contributor.authorRaventós Mayoral, Arnau
dc.contributor.authorQuijada Ferrero, Raúl
dc.contributor.authorTorres Urgell, Lluís
dc.contributor.authorTarrés Ruiz, Francisco
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions
dc.date.accessioned2016-01-19T15:11:00Z
dc.date.available2016-01-19T15:11:00Z
dc.date.issued2015-06-30
dc.identifier.citationRaventos, A., Quijada, R., Torres, L., Tarres, F. Automatic summarization of soccer highlights using audio-visual descriptors. "SpringerPlus", 30 Juny 2015, vol. 4, p. 1-19.
dc.identifier.issn2193-1801
dc.identifier.urihttp://hdl.handle.net/2117/81686
dc.description.abstractAutomatic summarization generation of sports video content has been object of great interest for many years. Although semantic descriptions techniques have been proposed, many of the approaches still rely on low-level video descriptors that render quite limited results due to the complexity of the problem and to the low capability of the descriptors to represent semantic content. In this paper, a new approach for automatic highlights summarization generation of soccer videos using audio-visual descriptors is presented. The approach is based on the segmentation of the video sequence into shots that will be further analyzed to determine its relevance and interest. Of special interest in the approach is the use of the audio information that provides additional robustness to the overall performance of the summarization system. For every video shot a set of low and mid level audio-visual descriptors are computed and lately adequately combined in order to obtain different relevance measures based on empirical knowledge rules. The final summary is generated by selecting those shots with highest interest according to the specifications of the user and the results of relevance measures. A variety of results are presented with real soccer video sequences that prove the validity of the approach.
dc.format.extent19 p.
dc.language.isoeng
dc.publisherSpringer
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/es/
dc.subjectÀrees temàtiques de la UPC::Enginyeria de la telecomunicació::Processament del senyal::Processament de la imatge i del senyal vídeo
dc.subject.lcshVideo description
dc.subject.lcshSemantic computing
dc.subject.lcshSoccer
dc.subject.otherVideo summarization
dc.subject.otherContent analysis
dc.subject.otherAudiovisual descriptors
dc.subject.otherMultimedia feature extraction
dc.subject.otherSemantic detection
dc.subject.otherMultimodal processing and fusion
dc.subject.otherShot-boundary detection
dc.subject.otherOf-the-art
dc.subject.otherVideo
dc.subject.otherRetrieval
dc.subject.otherSystem
dc.titleAutomatic summarization of soccer highlights using audio-visual descriptors
dc.typeArticle
dc.subject.lemacVídeo
dc.subject.lemacSemàntica computacional
dc.subject.lemacFutbol
dc.contributor.groupUniversitat Politècnica de Catalunya. DMAG - Grup d'Aplicacions Multimèdia Distribuïdes
dc.identifier.doi10.1186/s40064-015-1065-9
dc.description.peerreviewedPeer Reviewed
dc.relation.publisherversionhttp://www.springerplus.com/content/pdf/s40064-015-1065-9.pdf
dc.rights.accessOpen Access
local.identifier.drac16870379
dc.description.versionPostprint (published version)
local.citation.authorRaventos, A.; Quijada, R.; Torres, L.; Tarres, F.
local.citation.publicationNameSpringerPlus
local.citation.volume4
local.citation.startingPage1
local.citation.endingPage19
dc.identifier.pmid26155440


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