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http://dx.doi.org/10.3745/KIPSTB.2005.12B.1.047

ECoMOT : An Efficient Content-based Multimedia Information Retrieval System Using Moving Objects' Trajectories in Video Data  

Shim Choon-Bo (순천대학교 정보통신공학부)
Chang Jae-Woo (순천대학교 전자정보공학부)
Shin Yong-Won (부산가톨릭대학교 병원경영학과)
Park Byung-Rae (부산가톨릭대학교 방사선학과)
Publication Information
The KIPS Transactions:PartB / v.12B, no.1, 2005 , pp. 47-56 More about this Journal
Abstract
A moving object has a various features that its spatial location, shape, and size are changed as time goes. In addition, the moving object has both temporal feature and spatial feature. It is one of the highly interested feature information in video data. In this paper, we propose an efficient content-based multimedia information retrieval system, so tailed ECoMOT which enables user to retrieve video data by using a trajectory information of moving objects in video data. The ECoMOT includes several novel techniques to achieve content-based retrieval using moving objects' trajectories : (1) Muitiple trajectory modeling technique to model the multiple trajectories composed of several moving objects; (2) Multiple similar trajectory retrieval technique to retrieve more similar trajectories by measuring similarity between a given two trajectories composed of several moving objects; (3) Superimposed signature-based trajectory indexing technique to effectively search corresponding trajectories from a large trajectory databases; (4) convenient trajectory extraction, query generation, and retrieval interface based on graphic user interface
Keywords
Content-based Multimedia Information Retrieval; Multiple Trajectories Modeling; Multiple Similar Sub-Trajectory Retrieval; Superimposed Signature-based Trajectory Indexing Technique;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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