지역 칼라와 질감을 활용한 블록 기반 영상 검색 기술자 설계

Design of Block-based Image Descriptor using Local Color and Texture

  • 박성현 (단국대학교 응용컴퓨터공학과) ;
  • 이용환 (단국대학교 응용컴퓨터공학과) ;
  • 김영섭 (단국대학교 전자공학과)
  • Park, Sung-Hyun (Department of Applied Computer Engineering, Dankook University) ;
  • Lee, Yong-Hwan (Department of Applied Computer Engineering, Dankook University) ;
  • Kim, Youngseop (Department of Electronic Engineering, Dankook University)
  • 투고 : 2013.11.15
  • 심사 : 2013.12.16
  • 발행 : 2013.12.31

초록

Image retrieval is one of the most exciting and fastest growing research fields in the area of multimedia technology. As the amount of digital contents continues to grow users are experiencing increasing difficulty in finding specific images in their image libraries. This paper proposes an efficient image descriptor which uses a local color and texture in the non-overlapped block images. To evaluate the performance of the proposed method, we assessed the retrieval efficiency in terms of ANMRR with common image dataset. The experimental trials revealed that the proposed algorithm exhibited a significant improvement in ANMRR, compared to Dominant Color Descriptor and Edge Histogram Descriptor.

키워드

과제정보

연구 과제 주관 기관 : 한국콘텐츠진흥원

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