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

  • Authors:

  • Min-Yuan Fang;Yu-Hsin Kuan;Chung-Ming Kuo;Chaur-Heh Hsieh

  • Affiliations:

  • Department of Information Engineering, I-Shou University, Kaohsiung, Republic of China 840;Department of Information Engineering, I-Shou University, Kaohsiung, Republic of China 840;Department of Information Engineering, I-Shou University, Kaohsiung, Republic of China 840;Dept. of Computer and Communication Engineering, Ming Chung University, Taoyuan, Republic of China 333

  • Venue:
  • Multimedia Tools and Applications
  • Year:
  • 2012

Quantified Score

Hi-index 0.00

Visualization

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.