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
Link To Document