Salient region detection is one of a pre-processing method which are useful for several image processing application. Image processing application includes image retrieval, object recognition, face recognition, adaptive compression and image retargeting. Thus salient region detection is detecting the more attracted regions in an image. It can be define as contrast difference between the visually attracted regions and its neighbourhood in an image. In this paper we proposed a novel method by creating a saliency map by average of the three feature maps added by colour spatial variance of an image. Main feature maps are frequency map and spectral map
In this thesis an algorithm for producing saliency maps as well as an algorithm for detecting salien...
A simple method for detecting salient regions in images is proposed. It requires only edge detection...
International audienceThis paper proposes a novel saliency detection framework termed as saliency tr...
While considering the image processing operation estimation of Saliency become important parameter. ...
Saliency detection is widely used in many visual applications like image segmentation, object recogn...
Detecting visually salient regions in images is fundamental problems and it is useful for applicatio...
Saliency detection is widely used in many visual applications like image segmentation, object recogn...
In the computer vision community, saliency detection refers to modeling the selective mechanism in h...
Image saliency detection has become increasingly important with the development of intelligent ident...
International audienceIn this paper, we propose an efficient saliency model using regional color and...
In this paper, we propose an efficient saliency model using regional color and spatial information. ...
Reliable estimation of visual saliency allows appropriate processing of images without prior knowled...
Visual saliency is an important quality that makes an object, person, or pixel that relative to its ...
International audienceWe propose an efficient regional histogram (RH)-based computation model for sa...
We propose an efficient regional histogram (RH)-based computation model for saliency detection in na...
In this thesis an algorithm for producing saliency maps as well as an algorithm for detecting salien...
A simple method for detecting salient regions in images is proposed. It requires only edge detection...
International audienceThis paper proposes a novel saliency detection framework termed as saliency tr...
While considering the image processing operation estimation of Saliency become important parameter. ...
Saliency detection is widely used in many visual applications like image segmentation, object recogn...
Detecting visually salient regions in images is fundamental problems and it is useful for applicatio...
Saliency detection is widely used in many visual applications like image segmentation, object recogn...
In the computer vision community, saliency detection refers to modeling the selective mechanism in h...
Image saliency detection has become increasingly important with the development of intelligent ident...
International audienceIn this paper, we propose an efficient saliency model using regional color and...
In this paper, we propose an efficient saliency model using regional color and spatial information. ...
Reliable estimation of visual saliency allows appropriate processing of images without prior knowled...
Visual saliency is an important quality that makes an object, person, or pixel that relative to its ...
International audienceWe propose an efficient regional histogram (RH)-based computation model for sa...
We propose an efficient regional histogram (RH)-based computation model for saliency detection in na...
In this thesis an algorithm for producing saliency maps as well as an algorithm for detecting salien...
A simple method for detecting salient regions in images is proposed. It requires only edge detection...
International audienceThis paper proposes a novel saliency detection framework termed as saliency tr...