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政大典藏 > College of Informatics > Department of Computer Science > Periodical Articles > Item 140.119/69140

Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/69140

Title:	Similarity-based Motion Track Management for Video Retrieval
Authors:	陳良弼 CHEN,PEI-YI;CHEN,ARBEE L. P.
Contributors:	資科系
Keywords:	video retrieval;motion track;segmentation;similarity measure;relevance feedback
Date:	2006
Issue Date:	2014-08-21 15:00:38 (UTC+8)
Abstract:	The motion track is an important feature to show the spatio-temporal relationship of a video object [2, 5, 7, 8]. In this paper, we propose a novel motion track representation to represent the motion track in the X-Y plane and the trend of velocity changes. Moreover, a new similarity measure for comparing two motion tracks based on the representation is proposed. Furthermore, the motion track segmentation method is proposed to handle a complicated motion behavior and the relevance feedback is used to improve the query results.
Relation:	JOURNAL OF INFORMATION SCIENCE AND ENGINEERING,22,1519-1527
Data Type:	article
Appears in Collections:	[Department of Computer Science ] Periodical Articles

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