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Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/69147

Title:	Content-based query processing for video databases
Authors:	陳良弼 Chen,Arbee L. P. Kuo, T.C.T
Contributors:	資科系
Date:	2000-03
Issue Date:	2014-08-21 15:08:31 (UTC+8)
Abstract:	This paper presents a query processing strategy for the content-based video query language named CVQL. By CVQL, users can flexibly specify query predicates by the spatial and temporal relationships of the content objects. The query processing strategy evaluates the predicates and returns qualified videos or frames as results. Before the evaluation of the predicates, a preprocessing is performed to avoid unnecessary accessing of videos which are impossible to be the answers. The preprocessing checks the existence of the content objects specified in the predicates to eliminate unqualified videos. For the evaluation of the predicates, an M-index is designed based on the analysis of the behaviors of the content objects. The M-index is employed to avoid frame-by-frame evaluation of the predicates. Experimental results are presented to illustrate the performance of this approach
Relation:	IEEE Transactions on Multimedia (EI,SCIE),2(1),1-13
Data Type:	article
Appears in Collections:	[資訊科學系] 期刊論文

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