Content-based image retrieval by feature point matching

Chiou-Ting Hsu; Ya-Ting Wu; Arbee L. P. Chen

doi:10.1117/12.410958

1 January 2001 Content-based image retrieval by feature point matching

Chiou-Ting Hsu, Ya-Ting Wu, Arbee L. P. Chen

Proceedings Volume 4315, Storage and Retrieval for Media Databases 2001; (2001) https://doi.org/10.1117/12.410958
Event: Photonics West 2001 - Electronic Imaging, 2001, San Jose, CA, United States

Abstract

With the advance of multimedia technologies and the explosive expansion of the World Wide Web, the volume of image and video data increases rapidly. An efficient and effective multimedia data retrieval technique is needed. In this paper, we propose an approach based on feature points for the content-based image retrieval. The feature points extracted from the multiresolution representation of the query image and database image are first matched to determine the matching pairs. Then, the marching pairs are classified into groups. Finally, two similarity measurements based on different similarity requirements are proposed to compute the similarity degree. We perform a series of experiments to study the characteristics of this approach, and compare with the region-based approach on similar-shot sequence retrieval. The comparison shows the superiority of this approach.

Citation Download Citation

Chiou-Ting Hsu, Ya-Ting Wu, and Arbee L. P. Chen "Content-based image retrieval by feature point matching", Proc. SPIE 4315, Storage and Retrieval for Media Databases 2001, (1 January 2001); https://doi.org/10.1117/12.410958

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