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Please use this identifier to cite or link to this item: https://doi.org/10.1007/978-3-642-27355-1_64
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dc.titleVideo browser showdown by NUS
dc.contributor.authorYuan, J.
dc.contributor.authorLuan, H.
dc.contributor.authorHou, D.
dc.contributor.authorZhang, H.
dc.contributor.authorZheng, Y.-T.
dc.contributor.authorZha, Z.-J.
dc.contributor.authorChua, T.-S.
dc.date.accessioned2013-07-04T08:14:19Z
dc.date.available2013-07-04T08:14:19Z
dc.date.issued2012
dc.identifier.citationYuan, J.,Luan, H.,Hou, D.,Zhang, H.,Zheng, Y.-T.,Zha, Z.-J.,Chua, T.-S. (2012). Video browser showdown by NUS. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 7131 LNCS : 642-645. ScholarBank@NUS Repository. <a href="https://doi.org/10.1007/978-3-642-27355-1_64" target="_blank">https://doi.org/10.1007/978-3-642-27355-1_64</a>
dc.identifier.isbn9783642273544
dc.identifier.issn03029743
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/40873
dc.description.abstractThe known item search task (KIS) aims to retrieve a unique video or video clip in the video corpus. This paper presents a novel interactive video browsing system for KIS task. Our system integrates visual content-based, text-based and concept-based search approaches. It allows users to flexibly choose the search approaches. Moreover, two novel feedback schemes are employed: first, users can specify the temporal order in visual and conceptual inputs; second, users can label related samples with respect to visual, textual and conceptual features. Adopting these two feedback schemes greatly enhances search performance. © 2012 Springer-Verlag.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1007/978-3-642-27355-1_64
dc.sourceScopus
dc.typeConference Paper
dc.contributor.departmentCOMPUTER SCIENCE
dc.description.doi10.1007/978-3-642-27355-1_64
dc.description.sourcetitleLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
dc.description.volume7131 LNCS
dc.description.page642-645
dc.identifier.isiutNOT_IN_WOS
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