Title:	CONTENT-BASED RETRIEVAL USING MOVING OBJECTS’ TRAJECTORIES IN VIDEO DATA
Author(s):	Jae-woo Chang , Hyun-jo Lee , Jung-ho Um , Sang-mi Kim , Tae-woong Wang
ISBN:	978-972-8924-30-0
Editors:	Nuno Guimarães and Pedro Isaías
Year:	2007
Edition:	Single
Keywords:	Content-based retrieval, moving objects’ trajectories, video data
Type:	Full Paper
First Page:	11
Last Page:	18
Language:	English
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Paper Abstract:	In this paper, we propose a content-based retrieval system using moving objects’ trajectories video data. For this, we first present a spatio-temporal representation scheme which can efficiently deal with a single moving object as well as multiple moving objects. Secondly, we describe an efficient similar sub-trajectory retrieval scheme based on a new k-warping distance algorithm. Thirdly, we propose a new signature-based access method which can deal with a large amount of database and can support efficient retrieval on a user query based on moving objects' trajectories. To show the usefulness of applying our above schemes to a real video database application, we implement a content-based soccer video retrieval system, called CSVR, because the soccer video data have a lot of motion information based on a soccer ball being a salient object. The CSVR provides graphic user interfaces for both soccer video indexing and retrieval. Finally, we do the performance analysis of our similar sub-trajectory retrieval scheme based on our k-warping distance algorithm.
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