• DocumentCode
    2489455
  • Title

    Saliency retargeting: An approach to enhance image aesthetics

  • Author

    Wong, Lai-Kuan ; Low, Kok-Lim

  • Author_Institution
    Sch. of Comput., Nat. Univ. of Singapore, Singapore, Singapore
  • fYear
    2011
  • fDate
    5-7 Jan. 2011
  • Firstpage
    73
  • Lastpage
    80
  • Abstract
    A photograph that has visually dominant subjects in general induces stronger aesthetic interest. Inspired by this, we have developed a new approach to enhance image aesthetics through saliency retargeting. Our method alters low-level image features of the objects in the photograph such that their computed saliency measurements in the modified image become consistent with the intended order of their visual importance. The goal of our approach is to produce an image that can redirect the viewers´ attention to the most important objects in the image, and thus making these objects the main subjects. Since many modified images can satisfy the same specified order of visual importance, we trained an aesthetics score prediction model to pick the one with the best aesthetics. Results from our user experiments support the effectiveness of our approach.
  • Keywords
    feature extraction; image enhancement; photography; image aesthetics enhancement; image feature; photograph; saliency retargeting; Computational modeling; Image color analysis; Image segmentation; Lighting; Prediction algorithms; Predictive models; Visualization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Applications of Computer Vision (WACV), 2011 IEEE Workshop on
  • Conference_Location
    Kona, HI
  • ISSN
    1550-5790
  • Print_ISBN
    978-1-4244-9496-5
  • Type

    conf

  • DOI
    10.1109/WACV.2011.5711486
  • Filename
    5711486