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Journal of Information Science and Engineering, Vol.19 No.6, pp.967-987 (November 2003)

Querying Image Database by Video Content*

C. H. Wang, H. C. Lin*1, C. C. Shih**, H. R. Tyan+, C. F. Lin++
and H. Y. Mark Liao
Institute of Information Science
Academia Sinica
Taipei, 115 Taiwan
*1Department of Information Management
Chang Jung christian University
Tinan Hsien, 711 Taiwan
**Department of Ecology and Evolution
University of Chicago, USA
+Department of Information and Computer Engineering
Chung Yuan Christian University
Chungli, 320 Taiwan
++Department of Computer Science and Engineering
Yuan Ze University
Chungli, 320 Taiwan

A content-based image retrieval (CBIR) system using the features extracted from a video clip is proposed in this paper. The proposed CBIR system is directly applied to access a fish database collected and managed by the Institute of Zoology, Academia Sinica, Taiwan. The major contribution of this work is three-fold: (1) the proposed query-by-video-content scheme can overcome the problems caused by non-rigid motions, serious deformations, and partial occlusions of target objects; (2) the proposed scheme can tolerate different imaging environments; (3) the proposed representation scheme is invariant to translation, scaling, and rotation. Experimental results have confirmed the effectiveness of the proposed CBIR system.

Keywords: content-based image retrieval (CBIR), shape similarity retrieval, query by video content, curvature scale space (CSS), CSS-based representation and matching

Full Text () Retrieve PDF document (200311_05.pdf)

Received January 17, 2003; revised May 15, 2003; accepted June 16, 2003.
Communicated by Kuo-Chin Fan.
* This study was supported partially by the National Science Council, R.O.C. under Grant NSC89-2213-E-001-021, NSC89-2218-E-001-008, and NSC90-2213-E-309-004.