Interest region-based image retrieval system based on graph-cut segmentation and feature vectors

Authors:
Dongfeng Han;Wenhui Li;Xiaomo Wang;Yanjie She
Affiliations:
College of Computer Science and Technology, Key Laboratory of Symbol Computation and Knowledge Engineering of the Ministry of Education, Jilin University, Changchun, China;College of Computer Science and Technology, Key Laboratory of Symbol Computation and Knowledge Engineering of the Ministry of Education, Jilin University, Changchun, China;College of Computer Science and Technology, Key Laboratory of Symbol Computation and Knowledge Engineering of the Ministry of Education, Jilin University, Changchun, China;College of Computer Science and Technology, Key Laboratory of Symbol Computation and Knowledge Engineering of the Ministry of Education, Jilin University, Changchun, China
Venue:
CIS'05 Proceedings of the 2005 international conference on Computational Intelligence and Security - Volume Part I
Year:
2005

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Abstract

In this paper, an interest region-based image retrieval system (IRBIR) that combines similarity contributions from interest regions specified by user in images to form a single value for measuring similarity between images is proposed. The interest region-based framework utilizes the segmentation result to capture the higher-level concept of images. A novel image segmentation based on Graph-Cut is proposed for the final result. The segmentation method in this paper is fast and accurate enough for the real-time image retrieval demand than previous region-based methods. Experimental and comparison results, which are performed using a general purpose database containing 2,000 images, are encouraging.