• DocumentCode
    3099610
  • Title

    The application of fractal compression to content-based image retrieval: Comparison of methods

  • Author

    Shih, An-zen

  • Author_Institution
    Dept. of Inf. Eng., Jin-Wen Univ. of Technol., Taipei, Taiwan
  • Volume
    5
  • fYear
    2009
  • fDate
    12-15 July 2009
  • Firstpage
    2987
  • Lastpage
    2990
  • Abstract
    In this paper we will discuss the application of fractal compression concept in the field of content-based image retrieval. We will give a brief survey of the people´s work that using fractal compressed code to retrieve images. In addition, an experiment that evaluates retrieval efficiency is given. Although their algorithms are slightly different from each other, the experiment results show that the searching efficiency and error rate are stable. This discovery suggests that fractal compressed code is an efficient and robust method of content-based image retrieval. Finally, we will address the problem of using fractal code in content-based image retrieval to help people´s future work.
  • Keywords
    content-based retrieval; fractals; image coding; image retrieval; content-based image retrieval; fractal compressed code; fractal compression concept; searching efficiency; Content based retrieval; Cybernetics; Fractals; Image coding; Image retrieval; Information retrieval; Machine learning; Robustness; Shape; Testing; Content-based image retrieval; Fractal;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Learning and Cybernetics, 2009 International Conference on
  • Conference_Location
    Baoding
  • Print_ISBN
    978-1-4244-3702-3
  • Electronic_ISBN
    978-1-4244-3703-0
  • Type

    conf

  • DOI
    10.1109/ICMLC.2009.5212611
  • Filename
    5212611