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Effective image retrieval techniques based on novel salient region segmentation and relevance feedback

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Abstract

This paper proposes an effective region-based image retrieval technique based on novel salient region segmentation and relevance feedback. With a good and fast segmentation technique, our system achieves an on-the-fly segmentation capability, which enables users to select particular regions for matching and feedbacks without waiting for image segmentation. Therefore, we adopt a relatively simple feedback schemes to derive the intent of the user. The experimental results show that the system performance is greatly improved with this capability. Furthermore, a Quick-match algorithm is also presented in this paper. The mechanism of the Quick-match algorithm is to exclude from distance computation regions that are of low possibility to be the top-Mmatches. This algorithm excludes most of regions from distance computation and therefore greatly cuts down the turnaround time of the retrieval with slightly degradation of precision.

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Acknowledgement

The authors would like to express their sincere thanks to the anonymous reviewers for their invaluable comments and suggestions. This work was supported by the National Science Counsel of Republic of China Granted NSC. 97-2221-E-214-053-

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Authors and Affiliations

  1. Department of Information Engineering, I-Shou University, Tahsu, 840, Kaohsiung, Taiwan, Republic of China

    Min-Yuan Fang, Yu-Hsin Kuan & Chung-Ming Kuo

  2. Dept. of Computer and Communication Engineering, Ming Chung University, Gui-Shan, 333, Taoyuan, Taiwan, Republic of China

    Chaur-Heh Hsieh

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  1. Min-Yuan Fang
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  2. Yu-Hsin Kuan
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Correspondence to Chung-Ming Kuo.

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Fang, MY., Kuan, YH., Kuo, CM. et al. Effective image retrieval techniques based on novel salient region segmentation and relevance feedback. Multimed Tools Appl 57, 501–525 (2012). https://doi.org/10.1007/s11042-010-0655-3

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