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

지역 칼라와 질감을 활용한 블록 기반 영상 검색 기술자 설계

  • 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)
  • 박성현 (단국대학교 응용컴퓨터공학과) ;
  • 이용환 (단국대학교 응용컴퓨터공학과) ;
  • 김영섭 (단국대학교 전자공학과)
  • Received : 2013.11.15
  • Accepted : 2013.12.16
  • Published : 2013.12.31

Abstract

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.

Keywords

References

  1. Mun-Kew Leong, Wo Chang, "JPSearch-24800, Part-1: Framework and System Components", ISO/IEC JTC1/SC29/WG1N3684. 2005.
  2. R. Datta, D. Joshi, J. Li, J.Z. Wang, "Image Retrieval: ideas, influences, and trends of the new age", ACM Computing Surveys, 40(2), pp.1-60, 2008.
  3. N. Singhai, S.K. Shandilya, "A Survey on Content Based Image Retrieval Systems", International Journal of Computer Application, vol.4, 2010.
  4. Torres, R.S., Falcao, A.Z., "Content-based image retrieval: Theory and applications", In Brazilian Symposium on Computer Graphics and Image Processing, pp. 161-185, SIBGRAPO, 2006.
  5. Gareth Loy, Jan-Olof Eklundh, "A Review of Benchmarking Content-based Image Retrieval", MUSCLE/ImageCLEF Workshop on Image and Video Retrieval Evaluation, 2005.
  6. Akio Yamada, Robert O'challaghan, S.K. Kim, "MPEG-7 Visual Part of Experimentation Model ver 27.0", ISO/IEC JTC1/SC29/WG11N7808, 2006.
  7. Charles E. Jacobs, Adam Finkelstein, David H. Salesin, "Fast Multi-resolution Image Querying", ACM Proceedings of Conference on Computer Graphics and Interactive Techniques, pp.277-286, 1995.
  8. Li Wu, "Multi-resolution of Image Retrieval in Image Databases System", International Conference on Artificial Intelligence and Computational Intelligence, pp.243-246, 2010.
  9. Laila Shoukry, Sebastian Klenk, Gunther Heidemann, "MPEG-7 Feature Visualization for CBIR Systems", International Conference on Computer Theory and Applications (ICCTA), pp.86-90, 2010.
  10. Ju Han, Kai-Kuang Ma, "Fuzzy Color Histogram and its Use in Color Image Retrieval", IEEE Transaction on Image Processing, vol.11, no.8, 2002.
  11. Wong K. Man, "Content based Image Retrieval using MPEG-7 Dominant Color Descriptor", Master Thesis, City University of Hong Kong, 2004.
  12. K. Wong, K. Cheung and L. Po, "MIRROR: An Interactive Content Based Image Retrieval System," IEEE International Symposium on Circuits and Systems, vol. 2, pp. 1541-1544, 2005.
  13. Dong Kwon Park Chee Sun Won, Soo-Jun Park, "Efficient Use of MPEG-7 Edge Histogram Descriptor", ETRI Journal, 24(2), 2002.
  14. Website, http://en.wikipedia.org
  15. Sung-Hyun Park, "A Study on Efficient Image Retrieval using Color and Texture Feature", Ph.D. Thesis, Dankook University, 2010.