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dc.contributor.authorWang, Shen-Zhengen_US
dc.contributor.authorChen, Yung-Shengen_US
dc.contributor.authorLee, Shih-Hungen_US
dc.contributor.authorKuo, C. -C. Jayen_US
dc.date.accessioned2014-12-08T15:45:37Z-
dc.date.available2014-12-08T15:45:37Z-
dc.date.issued2008en_US
dc.identifier.isbn978-0-7695-3119-9en_US
dc.identifier.urihttp://hdl.handle.net/11536/30698-
dc.description.abstractAutomatic visual tempo analysis and adaptive shot detection are studied for MTV-style home video authoring. Based upon the significant variation caused by object and background independently, spatial and temporal analysis are integrated for region of interest(ROI) detection in video sequences. To further detect homogeneous shots, visual tempos are proposed to describe the variation. Then, an adaptive segmentation method is presented to automatically detect homogeneous shots using visual tempo cues. A baby video is used as an illustrative example, and the experimental results are encouraged.en_US
dc.language.isoen_USen_US
dc.titleVisual tempo analysis for MTV-style home video authoringen_US
dc.typeArticleen_US
dc.identifier.journalCISP 2008: FIRST INTERNATIONAL CONGRESS ON IMAGE AND SIGNAL PROCESSING, VOL 2, PROCEEDINGSen_US
dc.citation.spage192en_US
dc.citation.epage196en_US
dc.contributor.department資訊工程學系zh_TW
dc.contributor.departmentDepartment of Computer Scienceen_US
dc.identifier.wosnumberWOS:000258872400039-
顯示於類別:會議論文