IVIST: Interactive VIdeo Search Tool in VBS 2020

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dc.contributor.authorPark, Sungjuneko
dc.contributor.authorSong, Jaeyubko
dc.contributor.authorPark, Minhoko
dc.contributor.authorRo, Yong Manko
dc.date.accessioned2020-03-19T01:37:12Z-
dc.date.available2020-03-19T01:37:12Z-
dc.date.created2020-01-22-
dc.date.created2020-01-22-
dc.date.created2020-01-22-
dc.date.created2020-01-22-
dc.date.created2020-01-22-
dc.date.issued2020-01-06-
dc.identifier.citationInternational Conference on Multimedia Modeling (MMM) 2019, pp.809 - 814-
dc.identifier.issn0302-9743-
dc.identifier.urihttp://hdl.handle.net/10203/272470-
dc.description.abstractThis paper presents a new video retrieval tool, Interactive VIdeo Search Tool (IVIST), which participates in the 2020 Video Browser Showdown (VBS). As a video retrieval tool, IVIST is equipped with proper and highperforming functionalities such as object detection, dominant-color finding, scene-text recognition and text-image retrieval. These functionalities are constructed with various deep neural networks. By adopting these functionalities, IVIST performs well in searching users' desirable videos. Furthermore, due to user-friendly user interface, IVIST is easy to use even for novice users. Although IVIST is developed to participate in VBS, we hope that it will be applied as a practical video retrieval tool in the future, dealing with actual video data on the Internet.-
dc.languageEnglish-
dc.publisherSpringer-
dc.titleIVIST: Interactive VIdeo Search Tool in VBS 2020-
dc.typeConference-
dc.identifier.wosid000611566100074-
dc.identifier.scopusid2-s2.0-85080902767-
dc.type.rimsCONF-
dc.citation.beginningpage809-
dc.citation.endingpage814-
dc.citation.publicationnameInternational Conference on Multimedia Modeling (MMM) 2019-
dc.identifier.conferencecountryKO-
dc.identifier.conferencelocationDaejeon Convention Center-
dc.identifier.doi10.1007/978-3-030-37734-2_74-
dc.contributor.localauthorRo, Yong Man-
dc.contributor.nonIdAuthorSong, Jaeyub-
dc.contributor.nonIdAuthorPark, Minho-
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