Please use this identifier to cite or link to this item: https://doi.org/10.1109/ICIP.2004.1421545
DC FieldValue
dc.titleNews sports video shot classification with sports play field and motion features
dc.contributor.authorWang, D.-H.
dc.contributor.authorTian, Q.
dc.contributor.authorGao, S.
dc.contributor.authorSung, W.-K.
dc.date.accessioned2013-07-04T08:27:20Z
dc.date.available2013-07-04T08:27:20Z
dc.date.issued2004
dc.identifier.citationWang, D.-H.,Tian, Q.,Gao, S.,Sung, W.-K. (2004). News sports video shot classification with sports play field and motion features. Proceedings - International Conference on Image Processing, ICIP 4 : 2247-2250. ScholarBank@NUS Repository. <a href="https://doi.org/10.1109/ICIP.2004.1421545" target="_blank">https://doi.org/10.1109/ICIP.2004.1421545</a>
dc.identifier.isbn0780385543
dc.identifier.issn15224880
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/41429
dc.description.abstractIn this paper a novel sports news video shot classification method has been proposed. First two features based on motion and color are constructed and extracted from video shots: play field color ratio for specific types of sports, background motion and consistency ratio, then they are combined to generate an 11-dimension shot feature to feed into a C4.5 decision tree for shot classification. Based on our video data sets - the sports news video from the CNN Headline News video used in the TRECVID 2003, 7 predefined video shot classes were defined: 4 types of sports field video (basketball, baseball, ice hockey and golf), and sports news lead-in/lead-out, text, and others. Sports news video segments from 15 half-hour CNN News video were used for the training and testing. A performance of average precision and recall 88%, 82% has been achieved, respectively. The proposed method can be further developed and used to search news video for individual sports news and sports highlights. ©2004 IEEE.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1109/ICIP.2004.1421545
dc.sourceScopus
dc.typeConference Paper
dc.contributor.departmentCOMPUTER SCIENCE
dc.description.doi10.1109/ICIP.2004.1421545
dc.description.sourcetitleProceedings - International Conference on Image Processing, ICIP
dc.description.volume4
dc.description.page2247-2250
dc.identifier.isiutNOT_IN_WOS
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