<p>First column: input scenes. Second column, saliency maps produced by our model. Third column: saliency maps given by the AIM model. Fourth column: density maps of human fixation. Saliency is coded in color-scale (red–high saliency, blue–low saliency). According to the saliency maps, the traffic lights and the cars on the road in the first scene, the red detergent box in the second scene, the pen and the stapler in the third scene, the bicycle in the fourth scene, the two men in front of the building in the fifth scene, and the stop sign in the sixth scene appear salient.</p
International audienceThis chapter proposes a taxonomy to classify the real-life applications which ...
Bottom-up saliency models identify the salient regions of an image based on features such as color, ...
Recently, large breakthroughs have been observed in saliency modeling. The top scores on saliency be...
<p>(a) Input images. (b) Ground truth images. Rectangles mean “don't care” texts. (c) Visual salienc...
<p>20 saliency maps were divided into two groups, a few-peaked group and a many-peaked group, with s...
Narayan V, Tscherepanow M, Wrede B. Integrating habituation into saliency maps. In: Proceedings of ...
The results demonstrated in the first row reveal that the results generated using one color model mi...
<p>Examples of contextual frames (the 3 left columns) and target frame (the 4th column) frames in 6 ...
<p>Histograms of saliency measures at the random locations (green) and fixated locations in dynamic ...
<p>Histograms of saliency measures at the random locations (green) and fixated locations in static n...
Under natural viewing conditions humans tend to fixate on specific parts of the image that interests...
<p>(a) Input images. (b) Ground truth images. (c) Itti <i>et al</i>.'s visual saliency maps, calcula...
<p>(<b>A</b>) 3 different stimuli are shown together with their actual fixation and interestingness ...
This paper evaluates the degree of salliency of texts in natural scenes using visual saliency models...
Under natural viewing conditions humans tend to fixate on specific parts of the image that interests...
International audienceThis chapter proposes a taxonomy to classify the real-life applications which ...
Bottom-up saliency models identify the salient regions of an image based on features such as color, ...
Recently, large breakthroughs have been observed in saliency modeling. The top scores on saliency be...
<p>(a) Input images. (b) Ground truth images. Rectangles mean “don't care” texts. (c) Visual salienc...
<p>20 saliency maps were divided into two groups, a few-peaked group and a many-peaked group, with s...
Narayan V, Tscherepanow M, Wrede B. Integrating habituation into saliency maps. In: Proceedings of ...
The results demonstrated in the first row reveal that the results generated using one color model mi...
<p>Examples of contextual frames (the 3 left columns) and target frame (the 4th column) frames in 6 ...
<p>Histograms of saliency measures at the random locations (green) and fixated locations in dynamic ...
<p>Histograms of saliency measures at the random locations (green) and fixated locations in static n...
Under natural viewing conditions humans tend to fixate on specific parts of the image that interests...
<p>(a) Input images. (b) Ground truth images. (c) Itti <i>et al</i>.'s visual saliency maps, calcula...
<p>(<b>A</b>) 3 different stimuli are shown together with their actual fixation and interestingness ...
This paper evaluates the degree of salliency of texts in natural scenes using visual saliency models...
Under natural viewing conditions humans tend to fixate on specific parts of the image that interests...
International audienceThis chapter proposes a taxonomy to classify the real-life applications which ...
Bottom-up saliency models identify the salient regions of an image based on features such as color, ...
Recently, large breakthroughs have been observed in saliency modeling. The top scores on saliency be...