Please use this identifier to cite or link to this item: https://doi.org/10.1109/ICPR.2004.1334661
DC FieldValue
dc.titleVisual keywords labeling in soccer video
dc.contributor.authorKang, Y.-L.
dc.contributor.authorLim, J.-H.
dc.contributor.authorTian, Q.
dc.contributor.authorKankanhalli, M.S.
dc.contributor.authorXu, C.-S.
dc.date.accessioned2013-07-04T08:12:43Z
dc.date.available2013-07-04T08:12:43Z
dc.date.issued2004
dc.identifier.citationKang, Y.-L.,Lim, J.-H.,Tian, Q.,Kankanhalli, M.S.,Xu, C.-S. (2004). Visual keywords labeling in soccer video. Proceedings - International Conference on Pattern Recognition 3 : 850-853. ScholarBank@NUS Repository. <a href="https://doi.org/10.1109/ICPR.2004.1334661" target="_blank">https://doi.org/10.1109/ICPR.2004.1334661</a>
dc.identifier.isbn0769521282
dc.identifier.issn10514651
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/40804
dc.description.abstractIn this paper, we propose a framework to label soccer video shots with pre-defined visual keywords to bridge the semantic gap between low-level features and semantic understanding. Based on these visual keywords, further structure analysis and event detection will be facilitated. In our system, a MPEG-1 soccer video stream is partitioned into shots, from which each P-Frame is converted into color-based and edge-based binary maps. Then, we detect the playing field and segment the Regions of Interest (ROIs) inside the playing field. Finally two support vector machine classifiers and some decision rules are applied to the properties of the ROIs such as size, position, texture ratio, etc and the position of the playing field to label the video shot with visual keyword. We have applied the proposed method to 3495 soccer video shots and achieved 94.3% and 97.2% average precision and recall respectively.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1109/ICPR.2004.1334661
dc.sourceScopus
dc.typeConference Paper
dc.contributor.departmentCOMPUTER SCIENCE
dc.description.doi10.1109/ICPR.2004.1334661
dc.description.sourcetitleProceedings - International Conference on Pattern Recognition
dc.description.volume3
dc.description.page850-853
dc.description.codenPICRE
dc.identifier.isiutNOT_IN_WOS
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