International audienceSalient maps are often obtained by extracting color-and texture-based characteristics ; that is, identify dominant textures and colors and associate them with regions. In this paper, dominant textures and colors are identified by means of the k-means. Then, connected components are extracted. This two step processing delivers a hierarchy of salient maps. Moreover, it uses a similarity measurement taking into account texture and color specificities
Saliency detection is widely used in many visual applications like image segmentation, object recogn...
This paper presents a region-based model for salient object detec- tion. The model is defined as a c...
A novel statistical textural distinctiveness approach for robustly detecting salient regions in natu...
In current common research reports, salient regions are usually defined as those regions that could ...
International audienceIn content-based image retriaval (CBIR), the extraction of salient maps delive...
Saliency maps determine the likelihood that we focus on interesting areas of scenes or images. Thes...
Detecting visually salient regions in images is fundamental problems and it is useful for applicatio...
International audienceThe aim of salient feature detection is to find distinctive local events in im...
International audienceIn this paper, we propose an efficient saliency model using regional color and...
In this letter, a novel salient region detection approach is proposed. Firstly, color contrast cue a...
In this paper, we propose an efficient saliency model using regional color and spatial information. ...
International audienceWe propose an efficient regional histogram (RH)-based computation model for sa...
We present a novel saliency mechanism based on texture. Local texture at each pixel is characterised...
Reliable estimation of visual saliency allows appropriate processing of images without prior knowled...
Saliency detection is widely used in many visual applications like image segmentation, object recogn...
Saliency detection is widely used in many visual applications like image segmentation, object recogn...
This paper presents a region-based model for salient object detec- tion. The model is defined as a c...
A novel statistical textural distinctiveness approach for robustly detecting salient regions in natu...
In current common research reports, salient regions are usually defined as those regions that could ...
International audienceIn content-based image retriaval (CBIR), the extraction of salient maps delive...
Saliency maps determine the likelihood that we focus on interesting areas of scenes or images. Thes...
Detecting visually salient regions in images is fundamental problems and it is useful for applicatio...
International audienceThe aim of salient feature detection is to find distinctive local events in im...
International audienceIn this paper, we propose an efficient saliency model using regional color and...
In this letter, a novel salient region detection approach is proposed. Firstly, color contrast cue a...
In this paper, we propose an efficient saliency model using regional color and spatial information. ...
International audienceWe propose an efficient regional histogram (RH)-based computation model for sa...
We present a novel saliency mechanism based on texture. Local texture at each pixel is characterised...
Reliable estimation of visual saliency allows appropriate processing of images without prior knowled...
Saliency detection is widely used in many visual applications like image segmentation, object recogn...
Saliency detection is widely used in many visual applications like image segmentation, object recogn...
This paper presents a region-based model for salient object detec- tion. The model is defined as a c...
A novel statistical textural distinctiveness approach for robustly detecting salient regions in natu...