• DocumentCode
    2401498
  • Title

    Spatio-temporal Saliency detection using phase spectrum of quaternion fourier transform

  • Author

    Guo, Chenlei ; Ma, Qi ; Zhang, Liming

  • Author_Institution
    Dept. of Electron. Eng., Fudan Univ., Shanghai
  • fYear
    2008
  • fDate
    23-28 June 2008
  • Firstpage
    1
  • Lastpage
    8
  • Abstract
    Salient areas in natural scenes are generally regarded as the candidates of attention focus in human eyes, which is the key stage in object detection. In computer vision, many models have been proposed to simulate the behavior of eyes such as SaliencyToolBox (STB), neuromorphic vision toolkit (NVT) and etc., but they demand high computational cost and their remarkable results mostly rely on the choice of parameters. Recently a simple and fast approach based on Fourier transform called spectral residual (SR) was proposed, which used SR of the amplitude spectrum to obtain the saliency map. The results are good, but the reason is questionable.
  • Keywords
    Fourier transforms; computer vision; natural scenes; object detection; spatiotemporal phenomena; spectral analysis; amplitude spectrum; computer vision; natural scenes; object detection; phase spectrum; quaternion Fourier transform; saliency map; spatio-temporal saliency detection; spectral residual approach; Computational modeling; Computer vision; Eyes; Fourier transforms; Humans; Layout; Object detection; Phase detection; Quaternions; Strontium;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Vision and Pattern Recognition, 2008. CVPR 2008. IEEE Conference on
  • Conference_Location
    Anchorage, AK
  • ISSN
    1063-6919
  • Print_ISBN
    978-1-4244-2242-5
  • Electronic_ISBN
    1063-6919
  • Type

    conf

  • DOI
    10.1109/CVPR.2008.4587715
  • Filename
    4587715