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Please use this identifier to cite or link to this item: https://doi.org/10.1145/1282280.1282378
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dc.titleActive learning approach to interactive spatio-temporal news video retrieval
dc.contributor.authorLuan, H.-B.
dc.contributor.authorNeo, S.-Y.
dc.contributor.authorChua, T.-S.
dc.contributor.authorZheng, Y.-T.
dc.contributor.authorTang, S.
dc.contributor.authorZhang, Y.-D.
dc.contributor.authorLi, J.-T.
dc.date.accessioned2013-07-04T08:38:17Z
dc.date.available2013-07-04T08:38:17Z
dc.date.issued2007
dc.identifier.citationLuan, H.-B.,Neo, S.-Y.,Chua, T.-S.,Zheng, Y.-T.,Tang, S.,Zhang, Y.-D.,Li, J.-T. (2007). Active learning approach to interactive spatio-temporal news video retrieval. Proceedings of the 6th ACM International Conference on Image and Video Retrieval, CIVR 2007 : 651-. ScholarBank@NUS Repository. <a href="https://doi.org/10.1145/1282280.1282378" target="_blank">https://doi.org/10.1145/1282280.1282378</a>
dc.identifier.isbn1595937331
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/41890
dc.description.abstractInteractive news video retrieval requires the effective communication between the human searchers and the search engine to locate relevant video segments. We propose a spatiotemporal visual map (STVM) retrieval [1] system coupled with active learning to support user-centered interactive retrieval. Copyright 2007 ACM.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1145/1282280.1282378
dc.sourceScopus
dc.subjectActive learning
dc.subjectInteractive retrieval
dc.typeConference Paper
dc.contributor.departmentCOMPUTER SCIENCE
dc.description.doi10.1145/1282280.1282378
dc.description.sourcetitleProceedings of the 6th ACM International Conference on Image and Video Retrieval, CIVR 2007
dc.description.page651-
dc.identifier.isiutNOT_IN_WOS
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