Customized video service system design and implementation: from taste to image-based consuming method

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dc.contributor.authorPark, Hyojinko
dc.contributor.authorYang, Jinhongko
dc.contributor.authorKim, Hyuncheolko
dc.contributor.authorChoi, Jun Kyunko
dc.date.accessioned2019-09-03T07:20:38Z-
dc.date.available2019-09-03T07:20:38Z-
dc.date.created2019-09-02-
dc.date.created2019-09-02-
dc.date.created2019-09-02-
dc.date.issued2019-01-
dc.identifier.citationCLUSTER COMPUTING-THE JOURNAL OF NETWORKS SOFTWARE TOOLS AND APPLICATIONS, v.22, pp.999 - 1009-
dc.identifier.issn1386-7857-
dc.identifier.urihttp://hdl.handle.net/10203/266645-
dc.description.abstractTo deliver the myriad of videos tailored to each user, so far, most of the video services have provided customization service by video recommendations. However, as the place, device, and application for consuming video become almost anywhere, customization not only for users' taste but also for their video consuming environment is required. In this paper, we propose a video service system which can capture users' preferences and serve videos with both original and image based forms in a customized way. The image based form enables users' to 'read' the video's content by providing multiple keyframe images in a carousel form with full script of the video and works as the index of the video as well. It facilitates the video to be more easily linked and used in other services while diminishing playtime, data traffic, and sound restrictions. Through the proposed system implementation and service operation, we were able to confirm that the service use time and content consumption of returning visitors promoted by 2.5 times longer and 2.39 more in average compared to the first-time visitors.-
dc.languageEnglish-
dc.publisherSPRINGER-
dc.titleCustomized video service system design and implementation: from taste to image-based consuming method-
dc.typeArticle-
dc.identifier.wosid000480653200087-
dc.identifier.scopusid2-s2.0-85028742241-
dc.type.rimsART-
dc.citation.volume22-
dc.citation.beginningpage999-
dc.citation.endingpage1009-
dc.citation.publicationnameCLUSTER COMPUTING-THE JOURNAL OF NETWORKS SOFTWARE TOOLS AND APPLICATIONS-
dc.identifier.doi10.1007/s10586-017-1142-7-
dc.contributor.localauthorChoi, Jun Kyun-
dc.contributor.nonIdAuthorYang, Jinhong-
dc.contributor.nonIdAuthorKim, Hyuncheol-
dc.description.isOpenAccessN-
dc.type.journalArticleArticle-
dc.subject.keywordAuthorCustomized video service-
dc.subject.keywordAuthorMetadata processing-
dc.subject.keywordAuthorNatural language processing-
dc.subject.keywordAuthorImage carousels-
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