DocumentCode :
3193192
Title :
Predicting saliency using two contextual priors: The dominant depth and the horizon line
Author :
Le Meur, O.
Author_Institution :
University of Rennes 1 (IRISA-TEMICS), Campus de Beaulieu 35042, France
fYear :
2011
fDate :
11-15 July 2011
Firstpage :
1
Lastpage :
6
Abstract :
A computational model of visual attention using visual inferences is proposed. The dominant depth and the horizon line position are inferred from low-level visual features. This prior knowledge helps to find salient areas on still color pictures. Regarding the dominant depth, the idea is to favor the lowest spatial frequencies on close-up scenes whereas the highest spatial frequencies are used to predict salient areas on panoramic view. Some studies showed that the horizon line is a natural attractor of our gaze. Horizon detection is then used to improve the saliency prediction. Results show that the proposed model outperforms existing approaches. However, the dominant depth does not bring any gain in the saliency prediction.
Keywords :
contextual guidance; dominant depth; horizon line; saliency; visual attention;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Multimedia and Expo (ICME), 2011 IEEE International Conference on
Conference_Location :
Barcelona, Spain
ISSN :
1945-7871
Print_ISBN :
978-1-61284-348-3
Electronic_ISBN :
1945-7871
Type :
conf
DOI :
10.1109/ICME.2011.6011848
Filename :
6011848
Link To Document :
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