• DocumentCode
    3270521
  • Title

    Impact of image appeal on visual attention during photo triaging

  • Author

    Gilani, Syed Omer ; Subramanian, Ramanathan ; Huang Hua ; Winkler, Stefan ; Shih-Cheng Yen

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Nat. Univ. of Singapore, Singapore, Singapore
  • fYear
    2013
  • fDate
    15-18 Sept. 2013
  • Firstpage
    231
  • Lastpage
    235
  • Abstract
    Image appeal is determined by factors such as exposure, white balance, motion blur, scene perspective, and semantics. All these factors influence the selection of the best image(s) in a typical photo triaging task. This paper presents the results of an exploratory study on how image appeal affected selection behavior and visual attention patterns of 11 users, who were assigned the task of selecting the best photo from each of 40 groups. Images with low appeal were rejected, while highly appealing images were selected by a majority. Images with higher appeal attracted more visual attention, and users spent more time exploring them. A comparison of user eye fixation maps with three state-of-the-art saliency models revealed that these differences are not captured by the models.
  • Keywords
    image motion analysis; exposure; image appeal; motion blur; photo triaging; saliency models; scene perspective; selection behavior; semantics; user eye fixation maps; visual attention patterns; white balance; Cameras; Computational modeling; Computer vision; Entropy; Lighting; Measurement; Visualization; Eye fixations; Image appeal; Photowork; Saliency; Triaging; Visual attention;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing (ICIP), 2013 20th IEEE International Conference on
  • Conference_Location
    Melbourne, VIC
  • Type

    conf

  • DOI
    10.1109/ICIP.2013.6738048
  • Filename
    6738048