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


KIPS Transactions on Computer and Communication Systems, Vol. 12, No. 1, pp. 47-56, Feb. 2005
10.3745/KIPSTB.2005.12.1.47,   PDF Download:

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 called 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 object''s trajectories ; (1) Multiple 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; 92) 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.


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Cite this article
[IEEE Style]
C. B. Shim, J. W. Chang, Y. W. Shin and B. R. Park, "An Efficient Content-based Multimedia Information Retrieval System Using Moving Objects` Trajectories in Video Data," KIPS Journal B (2001 ~ 2012) , vol. 12, no. 1, pp. 47-56, 2005. DOI: 10.3745/KIPSTB.2005.12.1.47.

[ACM Style]
Choon Bo Shim, Jae Woo Chang, Yong Won Shin, and Byung Rae Park. 2005. An Efficient Content-based Multimedia Information Retrieval System Using Moving Objects` Trajectories in Video Data. KIPS Journal B (2001 ~ 2012) , 12, 1, (2005), 47-56. DOI: 10.3745/KIPSTB.2005.12.1.47.