• DocumentCode
    625834
  • Title

    A new bottom-up method for saliency detection

  • Author

    Xiaolong Ma ; Xudong Xie ; Kin-Man Lam ; Yisheng Zhong

  • Author_Institution
    Dept. of Autom., Tsinghua Univ., Beijing, China
  • fYear
    2013
  • fDate
    3-6 June 2013
  • Firstpage
    97
  • Lastpage
    98
  • Abstract
    In this paper, we propose a new method for saliency detection. Unlike other algorithms, our method considers nonsalient regions first, and extracts information in the wavelet transform domain only. Our method need not perform the inverse transform back to the image domain, which can greatly reduce the computational requirements. Experimental results show that our method can achieve excellent results when compared to the state-of-the-art methods.
  • Keywords
    feature extraction; wavelet transforms; bottom-up method; image domain; information extraction; nonsalient regions; saliency detection; wavelet transform domain; Fourier transforms; Image color analysis; Visualization; Wavelet coefficients; Wavelet domain;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Consumer Electronics (ISCE), 2013 IEEE 17th International Symposium on
  • Conference_Location
    Hsinchu
  • ISSN
    0747-668X
  • Print_ISBN
    978-1-4673-6198-9
  • Type

    conf

  • DOI
    10.1109/ISCE.2013.6570272
  • Filename
    6570272