<p>(a) Distribution of intensity, color, and orientation saliency of pixels that belong to texts. (b) Distribution of intensity, color, and orientation saliency of pixels that belong to non-texts. (c) Distribution of pixels from both texts and non-texts. For those plots, 200 pixels (100 pixels from texts and 100 pixels from non-texts) are randomly selected from each saliency map.</p
<p>Black colored regions represent ambiguous pixels that were categorized with the probability less ...
<p>Histograms of saliency measures at the random locations (green) and fixated locations in dynamic ...
<p>Kernel density estimates of pixel entropy in the four categories used for Experiment 1. The media...
<p>Representative examples of a) a picture classified as belonging to <i>Zone 1</i>, b) a picture cl...
A. Business land (main) stratum, B. Business land (clustered) stratum, C. Business land (scattered) ...
<p>Distribution of images across the valence range in each class of unpleasant, neutral, and pleasan...
<p>Spatial distribution of: (a) landscape diversity, (b) relative richness, (c) landscape dominance,...
(a) Input image. (b) Pixel scatter plot of the input image. (c) Histogram of the input image with th...
<p>Spatial distribution of fixations on scene-camera images (i.e., eye-in-head).</p
<p>Distribution of visual complexity for plural and singular items in the picture naming task.</p
<p>Histograms of saliency measures at the random locations (green) and fixated locations in static n...
Introduction One goal of scene understanding is to find the shape and color of surfaces in a scene ...
Although the total number of discernible colours in natural scenes has been estimated ...
<p>(a) the distribution of two horizontal adjacent pixels in the original image, (b) the distributio...
This article proposes a scheme for automatic extraction of text from scene images. We proceed by app...
<p>Black colored regions represent ambiguous pixels that were categorized with the probability less ...
<p>Histograms of saliency measures at the random locations (green) and fixated locations in dynamic ...
<p>Kernel density estimates of pixel entropy in the four categories used for Experiment 1. The media...
<p>Representative examples of a) a picture classified as belonging to <i>Zone 1</i>, b) a picture cl...
A. Business land (main) stratum, B. Business land (clustered) stratum, C. Business land (scattered) ...
<p>Distribution of images across the valence range in each class of unpleasant, neutral, and pleasan...
<p>Spatial distribution of: (a) landscape diversity, (b) relative richness, (c) landscape dominance,...
(a) Input image. (b) Pixel scatter plot of the input image. (c) Histogram of the input image with th...
<p>Spatial distribution of fixations on scene-camera images (i.e., eye-in-head).</p
<p>Distribution of visual complexity for plural and singular items in the picture naming task.</p
<p>Histograms of saliency measures at the random locations (green) and fixated locations in static n...
Introduction One goal of scene understanding is to find the shape and color of surfaces in a scene ...
Although the total number of discernible colours in natural scenes has been estimated ...
<p>(a) the distribution of two horizontal adjacent pixels in the original image, (b) the distributio...
This article proposes a scheme for automatic extraction of text from scene images. We proceed by app...
<p>Black colored regions represent ambiguous pixels that were categorized with the probability less ...
<p>Histograms of saliency measures at the random locations (green) and fixated locations in dynamic ...
<p>Kernel density estimates of pixel entropy in the four categories used for Experiment 1. The media...