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Spatio-temporal attention model for video content analysis

11 years 1 months ago
Spatio-temporal attention model for video content analysis
This paper presents a new model of human attention that allows salient areas to be extracted from video frames. As automatic understanding of video semantic content is still far from being achieved, attention model tends to mimic the focus of the human visual system. Most existing approaches extract the saliency of images in order to be used in multiple applications but they are not compared to human perception. The model described here is achieved by the fusion of a static model inspired by the human system and a model of moving object detection. The static model is divided into two steps: a "retinal" filtering followed by a "cortical" decomposition. The moving object detection is carried out by a compensation of camera motion. Then we compare the attention model output for different videos with human judgment. A psychophysical experiment is proposed to compare the model with visual human perception and to validate it. The experimental results indicate that the mod...
Mickael Guironnet, Nathalie Guyader, Denis Pelleri
Added 23 Oct 2009
Updated 14 Nov 2009
Type Conference
Year 2005
Where ICIP
Authors Mickael Guironnet, Nathalie Guyader, Denis Pellerin, Patricia Ladret
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