• DocumentCode
    708630
  • Title

    New models of visual saliency: Contourlet transform based model and hybrid model

  • Author

    Abouelaziz, Ilyass ; El Hassouni, Mohammed

  • Author_Institution
    Fac. of Sci., Mohammed V Univ. of Rabat, Rabat, Morocco
  • fYear
    2015
  • fDate
    25-26 March 2015
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Modeling of visual attention is a very active research domain which has attracted the attention of researchers over the past years. Several models of saliency detection are now available that have shown successful applications in various fields. In this paper, we initially present three models already existing in the literature, we are talking about Itti´s model, Imamoglu´s model and Le Moans´s model. Then, we present our proposal models in order to improve the results obtained from these three models: the first one is based on the Contourlet Transform and the second is an Hybrid model which combines Imamoglu´s model and Le Moans´s model.
  • Keywords
    edge detection; wavelet transforms; Imamoglu model; Itti model; Le Moans model; contourlet transform based model; edge detection; visual saliency detection; wavelet transform; Computational modeling; Computer architecture; Correlation; Gray-scale; Visualization; Wavelet transforms; Bottom-up; Contourlet Transform; Hybrid model; Top-down; Visual saliency; Wavelet Transform; feature maps; saliency map; spectral saliency;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Systems and Computer Vision (ISCV), 2015
  • Conference_Location
    Fez
  • Print_ISBN
    978-1-4799-7510-5
  • Type

    conf

  • DOI
    10.1109/ISACV.2015.7105547
  • Filename
    7105547