DocumentCode
3045415
Title
Analysis of Human Attention toward Context-Related Images for Understanding Visual Information Processing
Author
Joo Yun Han ; Yu-Bu Lee ; Sukhan Lee
Author_Institution
Dept. of Interaction Sci., Sungkyunkwan Univ., Seoul, South Korea
fYear
2013
fDate
13-16 Oct. 2013
Firstpage
3114
Lastpage
3118
Abstract
The purpose of this study is to understand human\´s visual information processing mechanisms. We emphasize the importance of "context" for attracting visual attention as an effect of top-down process. We created indices for saliency index by degree of saliency using Itti\´s saliency model and for context index by object importance from pre-experimental survey for analyzing the present data. In terms of bottom-up process, the effect of bottom-up saliency was insignificant and correlation between the saliency map and human fixation map was rather low. We compared the context index within both salient and non-salient area that top-down processing is a strong attentional guidance. If the contextually meaningful objects and visually salient area was overlapped, it robustly attracts attentions. Furthermore, the counts of fixations on objects and the order in sequence of eye-movement showed that the subjects tended to fixate more often and more frequently toward more importantly considered objects.
Keywords
cognition; data analysis; image sequences; object tracking; Itti´s saliency model; bottom-up saliency; context index; data analysis; eye-movement sequence; human fixation map; human visual information processing mechanisms; nonsalient area; object importance; saliency index; saliency map; salient area; top-down processing; visual attention; Computational modeling; Context; Correlation; Educational institutions; Indexes; Information processing; Visualization; bottom-up saliency; context-related saliency; fixation; human attention; top-down process;
fLanguage
English
Publisher
ieee
Conference_Titel
Systems, Man, and Cybernetics (SMC), 2013 IEEE International Conference on
Conference_Location
Manchester
Type
conf
DOI
10.1109/SMC.2013.531
Filename
6722284
Link To Document