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 :
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