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Region-Based Image Retrieval System using Spatial Location Information as Weights for Relevance Feedback

  • Journal of The Korea Society of Computer and Information
  • Abbr : JKSCI
  • 2006, 11(4), pp.1-8
  • Publisher : The Korean Society Of Computer And Information
  • Research Area : Engineering > Computer Science

Jaewon Song 1 Ju-Hong Lee ORD ID 1 KIM DEOKHWAN 1

1인하대학교

Candidate

ABSTRACT

Recently, studies of relevance feedback to increase the performance of image retrieval has been activated. In this paper, a new region weighting method in region based image retrieval with relevance feedback is proposed to reduce the semantic gap between the low level feature representation and the high level concept in a given query image. The new weighting method determines the importance of regions according to the spatial locations of regions in an image. Experimental results demonstrate that the retrieval quality of our method is about 18% in recall better than that of area percentage approach, and about 11% in recall better than that of region frequency weighted by inverse image frequency approach and the retrieval time of our method is a tenth of that of region frequency approach.

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