Subject: https://w3id.org/scholarlydata/inproceedings/www2012/dev/28Property: http://www.w3.org/1999/02/22-rdf-syntax-ns#typehttp://www.w3.org/2000/01/rdf-schema#Resourcehttp://purl.org/spar/fabio/ProceedingsPaperhttp://www.ontologydesignpatterns.org/ont/dul/DUL.owl#SocialObjecthttps://w3id.org/scholarlydata/ontology/conference-ontology.owl#InProceedingshttp://www.w3.org/2002/07/owl#Thinghttp://www.ontologydesignpatterns.org/ont/dul/DUL.owl#InformationObjecthttp://www.ontologydesignpatterns.org/ont/dul/DUL.owl#ObjectProperty: http://www.w3.org/2000/01/rdf-schema#labelEnabling on-the-fly Video Shot Detection on YouTubeProperty: http://www.w3.org/2002/07/owl#sameAshttp://data.semanticweb.org/conference/www/2012/dev/28Property: http://swrc.ontoware.org/ontology#abstractVideo shot detection is the processor-intensive task of splitting a video into continuous shots, with hard or soft cuts as the boundaries. In this paper, we present a client-side on-the-fly approach to this challenge based on modern HTML5-enabled Web APIs. We show how video shot detection can be seamlessly embedded into video platforms like YouTube using browser extensions. Once a video has been split into shots, shot-based video navigation gets enabled and more fine-grained playing statistics can be created.Property: http://purl.org/dc/elements/1.1/creatorhttps://w3id.org/scholarlydata/person/joaquim-gabarrohttps://w3id.org/scholarlydata/person/thomas-steinerhttps://w3id.org/scholarlydata/person/ruben-verborghhttps://w3id.org/scholarlydata/person/rik-van-de-wallehttps://w3id.org/scholarlydata/person/michael-hausenblashttps://w3id.org/scholarlydata/person/raphael-troncyProperty: http://purl.org/dc/elements/1.1/subjectshot detectionvideo processingshot boundary detectionProperty: http://purl.org/dc/elements/1.1/titleEnabling on-the-fly Video Shot Detection on YouTubeProperty: http://purl.org/ontology/bibo/authorListhttps://w3id.org/scholarlydata/inproceedings/www2012/dev/28/authorListProperty: http://xmlns.com/foaf/0.1/makerhttps://w3id.org/scholarlydata/person/thomas-steinerhttps://w3id.org/scholarlydata/person/raphael-troncyhttps://w3id.org/scholarlydata/person/joaquim-gabarrohttps://w3id.org/scholarlydata/person/rik-van-de-wallehttps://w3id.org/scholarlydata/person/ruben-verborghhttps://w3id.org/scholarlydata/person/michael-hausenblasProperty: https://w3id.org/scholarlydata/ontology/conference-ontology.owl#abstractVideo shot detection is the processor-intensive task of splitting a video into continuous shots, with hard or soft cuts as the boundaries. In this paper, we present a client-side on-the-fly approach to this challenge based on modern HTML5-enabled Web APIs. We show how video shot detection can be seamlessly embedded into video platforms like YouTube using browser extensions. Once a video has been split into shots, shot-based video navigation gets enabled and more fine-grained playing statistics can be created.Property: https://w3id.org/scholarlydata/ontology/conference-ontology.owl#hasAuthorListhttps://w3id.org/scholarlydata/inproceedings/www2012/dev/28/authorListProperty: https://w3id.org/scholarlydata/ontology/conference-ontology.owl#isPartOfhttps://w3id.org/scholarlydata/conference/www/proceedingshttps://w3id.org/scholarlydata/conference/www/2012/dev/proceedingsProperty: https://w3id.org/scholarlydata/ontology/conference-ontology.owl#keywordshot detectionshot boundary detectionvideo processingProperty: https://w3id.org/scholarlydata/ontology/conference-ontology.owl#titleEnabling on-the-fly Video Shot Detection on YouTube

Subject: https://w3id.org/scholarlydata/person/michael-hausenblasProperty: http://xmlns.com/foaf/0.1/madehttps://w3id.org/scholarlydata/inproceedings/www2012/dev/28

Subject: https://w3id.org/scholarlydata/person/raphael-troncyProperty: http://xmlns.com/foaf/0.1/madehttps://w3id.org/scholarlydata/inproceedings/www2012/dev/28

Subject: https://w3id.org/scholarlydata/person/joaquim-gabarroProperty: http://xmlns.com/foaf/0.1/madehttps://w3id.org/scholarlydata/inproceedings/www2012/dev/28

Subject: https://w3id.org/scholarlydata/person/rik-van-de-walleProperty: http://xmlns.com/foaf/0.1/madehttps://w3id.org/scholarlydata/inproceedings/www2012/dev/28

Subject: https://w3id.org/scholarlydata/person/ruben-verborghProperty: http://xmlns.com/foaf/0.1/madehttps://w3id.org/scholarlydata/inproceedings/www2012/dev/28

Subject: https://w3id.org/scholarlydata/person/thomas-steinerProperty: http://xmlns.com/foaf/0.1/madehttps://w3id.org/scholarlydata/inproceedings/www2012/dev/28

Subject: https://w3id.org/scholarlydata/conference/www/2012/dev/proceedingsProperty: https://w3id.org/scholarlydata/ontology/conference-ontology.owl#hasParthttps://w3id.org/scholarlydata/inproceedings/www2012/dev/28

Subject: https://w3id.org/scholarlydata/conference/www/proceedingsProperty: https://w3id.org/scholarlydata/ontology/conference-ontology.owl#hasParthttps://w3id.org/scholarlydata/inproceedings/www2012/dev/28