Journal of KIISE:Computer Systems and Theory (한국정보과학회논문지:시스템및이론)

Korean Institute of Information Scientists and Engineers (한국정보과학회)
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Multiple Region-of-Interest Based Image Retrieval Method

다중 관심영역 기반 이미지 검색 방법

  • 이종원 (청강문화산업대학 e스포츠게임과) ;
  • 낭종호 (서강대학교 컴퓨터공학과)
  • Received : 2010.06.25
  • Accepted : 2010.08.11
  • Published : 2010.10.15
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Abstract

This paper proposes an image retrieval method based on the Multiple Region-of-Interest. In the proposed method, the image is segmented into blocks, among which the blocks overlapped with multiple ROIs are selected. The similarity of images is measured using the MPEG-7 dominant color descriptor(DCD) and considering the relative location of the overlapped blocks. The experimental results showed that the proposed method improves the retrieval performance than the previous methods using the global DCD or comparing the blocks at the same position. In addition, the method that considers the relative position of blocks overlapped with the multiple ROIs also showed a better performance than the existing methods.

본 논문에서는 사용자가 관심을 갖는 다중 영역기반(ROI)으로 이미지를 검색하는 방법을 제안한다. 제안한 방법은 이미지를 블록으로 구분한 후 사용자가 선택한 다중 ROI와 겹치는 부분을 선택하고 해당 블록의 MPEG-7 도미넌트 컬러와 블록의 상대적 위치를 고려하여 유사도를 측정한다. 실험결과 제안한 방법은 전역 이미지 검색이나 동일한 위치의 블록만 비교하는 경우보다 높은 성능향상을 나타냈고, 다중 ROI의 경우 상대적 위치를 고려하는 방법이 다른 방법에 비해 우수한 성능을 나타냈다.

Keywords

References

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