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  • Research Article
  • Open Access

Accelerating of Image Retrieval in CBIR System with Relevance Feedback

  • 1Email author,
  • 1,
  • 2,
  • 1,
  • 3,
  • 1,
  • 1, 3 and
  • 3
EURASIP Journal on Advances in Signal Processing20072007:062678

  • Received: 12 September 2006
  • Accepted: 29 April 2007
  • Published:


Content-based image retrieval (CBIR) system with relevance feedback, which uses the algorithm for feature-vector (FV) dimension reduction, is described. Feature-vector reduction (FVR) exploits the clustering of FV components for a given query. Clustering is based on the comparison of magnitudes of FV components of a query. Instead of all FV components describing color, line directions, and texture, only their representative members describing FV clusters are used for retrieval. In this way, the "curse of dimensionality" is bypassed since redundant components of a query FV are rejected. It was shown that about one tenth of total FV components (i.e., the reduction of 90%) is sufficient for retrieval, without significant degradation of accuracy. Consequently, the retrieving process is accelerated. Moreover, even better balancing between color and line/texture features is obtained. The efficiency of FVR CBIR system was tested over TRECVid 2006 and Corel 60 K datasets.


  • Color
  • Information Technology
  • Quantum Information
  • Image Retrieval
  • Dimension Reduction

Authors’ Affiliations

College of Information and Communication Technologies, Belgrade, Serbia
Computer and Information Sciences Department, Information Science and Technology Center, Temple University, Philadelphia, PA 19122, USA
Digital Image Processing, Telemedicine and Multimedia Laboratory, Faculty of Electrical Engineering, University of Belgrade, Bulevar Kralja Aleksandra 73, Belgrade, 11000, Serbia


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© Goran Zajić et al. 2007

This article is published under license to BioMed Central Ltd. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.