• DocumentCode
    3282893
  • Title

    Target-Preserving Content-Aware Image Resizing

  • Author

    Cheng-Hung Chuang ; Zhong-Yan Shi

  • Author_Institution
    Dept. of Comput. Sci. & Inf. Eng., Asia Univ., Taichung, Taiwan
  • fYear
    2012
  • fDate
    25-28 Aug. 2012
  • Firstpage
    19
  • Lastpage
    22
  • Abstract
    This paper presents an automatic target-preserving content-aware image resizing method for displaying image with different aspect ratios. the method computes a saliency map which describes the attractive and unattractive regions in an image by the saliency-based visual attention model. then a thresholding technique is applied to detect important target regions on the saliency map. the method uses an average strategy to calculate the height of each row and the width of each column outside the important regions. Next an interpolation technique is used to resize the image to its target size. Experimental results show that the proposed image resizing method is capable of preserving important target without deformation.
  • Keywords
    image segmentation; interpolation; object detection; aspect ratios; average strategy; interpolation technique; saliency map; saliency-based visual attention model; target region detection; target-preserving content-aware image resizing method; thresholding technique; Computational modeling; Conferences; Feature extraction; Interpolation; Shape; Visualization; Otsu thresholding; image interpolation; image retargeting; saliency map; seam carving;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Genetic and Evolutionary Computing (ICGEC), 2012 Sixth International Conference on
  • Conference_Location
    Kitakushu
  • Print_ISBN
    978-1-4673-2138-9
  • Type

    conf

  • DOI
    10.1109/ICGEC.2012.138
  • Filename
    6457177