Abstract: Saliency map is an important and very useful representation of visually important parts of the image. It highlights the salient parts of the image by limiting the visual information coming to the human visual system (HVS). Many models have been proposed in the literature for computing the saliency maps. All of them are having their own pros and cons. No model is perfect. But it has be...

In order to solve the problem of automatic detection of artificial objects in high resolution remote sensing images, a method for detection of artificial areas in high resolution remote sensing images based on multi-scale and multi feature fusion is proposed. Firstly, the geometric features such as corner, straight line and right angle are extracted from the original resolution, and the pseudo ...

Visual attention is an indispensable component of complex vision tasks. In this paper, a multiscale, complex network-based approach for determining visual saliency is described. It uses degree centrality (conceptually and computationally the simplest among all the centrality measures) over a network of image regions to form a saliency map. The regions used in the network are multiscale in natur...

Visual Saliency is the capability of vision system to select distinctive parts of scene and reduce the amount of visual data that need to be processed. The present paper introduces (1) a novel approach to detect salient regions by considering color and luminance based saliency scores using Dynamic Mode Decomposition (DMD), (2) a new interpretation to use DMD approach in static image processing....

Visual system of human beings does not process the complete area of image rather focus upon limited area of visual image. But in which area does the visual attention focused is a topic of hot research nowadays. Research on psychological phenomenon indicates that attention is attracted to features that differ from its surroundings or the one that are unusual or unfamiliar to the human visual sys...

We present a new method for the detection of 3D keypoints on point clouds and we perform benchmarking between each pair of 3D keypoint detector and 3D descriptor to evaluate their performance on object and category recognition. Our keypoint detector is inspired by the behavior and neural architecture of the primate visual system. The 3D keypoints are extracted based on a bottom-up 3D saliency m...

Models of visual attention postulate the existence of a saliency map whose function is to guide attention and gaze to the most conspicuous regions in a visual scene. Although cortical representations of saliency have been reported, there is mounting evidence for a subcortical saliency mechanism, which pre-dates the evolution of neocortex. Here, we conduct a strong test of the saliency hypothesi...

Images are mainly viewed and analyzed by humans. Because of this, in the characterization image quality effectiveness processing, it is necessary to take into account peculiarities human vision system cognition that very complex. Saliency maps as well priority meaning introduced recently attempts incorporate specific features analysis processing fields. Many authors consider aforementioned them...

Almost all existing visual saliency models focus on predicting a universal saliency map across all observers. Yet psychology studies suggest that visual attention of different observers can vary a lot under some specific circumstances, especially when they view scenes with multiple salient objects. However, few work explores this visual attention difference probably because of lacking a proper ...

By the guidance of attention, human visual system is able to locate objects of interest in complex scene. In this paper, we propose a novel visual saliency detection method the conditional saliency for both image and video. Inspired by biological vision, the definition of visual saliency follows a strictly local approach. Given the surrounding area, the saliency is defined as the minimum uncert...