JISE

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

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

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