• DocumentCode
    177643
  • Title

    Stereoscopic image retargeting based on 3D saliency detection

  • Author

    Junle Wang ; Yuming Fang ; Narwaria, Manish ; Weisi Lin ; Le Callet, Patrick

  • Author_Institution
    Polytech Nantes, Univ. de Nantes, Nantes, France
  • fYear
    2014
  • fDate
    4-9 May 2014
  • Firstpage
    669
  • Lastpage
    673
  • Abstract
    In this paper, we propose a novel stereoscopic image retargeting algorithm based on 3D visual saliency detection. A new 3D visual attention model is designed based on 2D visual feature detection, depth feature detection and the modeling of various viewing bias in stereo vision. A geometrically consistent seam carving technique is adopted for retargeting stereo image pair. Experimental results demonstrated that both the proposed visual attention model and the proposed retargeting method outperform the state-of-the-art studies.
  • Keywords
    feature extraction; stereo image processing; visual perception; 2D visual feature detection; 3D visual attention; 3D visual saliency detection; depth feature detection; geometrically consistent seam carving; stereo image pair; stereo vision; stereoscopic image retargeting; Computational modeling; Feature extraction; Observers; Solid modeling; Stereo image processing; Three-dimensional displays; Visualization; Visual attention; eye-tracking; image retargeting; saliency detection; stereoscopic 3D;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech and Signal Processing (ICASSP), 2014 IEEE International Conference on
  • Conference_Location
    Florence
  • Type

    conf

  • DOI
    10.1109/ICASSP.2014.6853680
  • Filename
    6853680