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Please use this identifier to cite or link to this item: https://scholarbank.nus.edu.sg/handle/10635/72502
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dc.titleAutomatic parsing of news video
dc.contributor.authorZhang, HongJiang
dc.contributor.authorGong, Yihong
dc.contributor.authorSmoliar, Stephen W.
dc.contributor.authorTan, Shuang Yeo
dc.date.accessioned2014-06-19T05:08:46Z
dc.date.available2014-06-19T05:08:46Z
dc.date.issued1994
dc.identifier.citationZhang, HongJiang,Gong, Yihong,Smoliar, Stephen W.,Tan, Shuang Yeo (1994). Automatic parsing of news video. Proceedings of the International Conference on Multimedia Computing and Systems : 45-54. ScholarBank@NUS Repository.
dc.identifier.isbn0818655305
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/72502
dc.description.abstractVideo content parsing is possible when one has a priori model of a video's structure based on domain knowledge. This paper presents work on using domain knowledge to parse content of news video programs. Approaches to locating and identifying frame structure models based on temporal and spatial structure of news video data, along with algorithms to apply these models in parsing news video, have been developed and are presented in detail in this paper. Experimental results are also discussed in detail to evaluate the approaches and algorithms. Finally, proposals for future work are summarized.
dc.sourceScopus
dc.typeConference Paper
dc.contributor.departmentINSTITUTE OF SYSTEMS SCIENCE
dc.contributor.departmentELECTRICAL ENGINEERING
dc.description.sourcetitleProceedings of the International Conference on Multimedia Computing and Systems
dc.description.page45-54
dc.identifier.isiutNOT_IN_WOS
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