Abstract This paper describes an adaptive extraction of focus of attention region for saliency-based visual attention. The saliency map model generates the most salient and significant location in the visual scene. In human brain, there is an inhibition of return property for which current attending point is prevented from being attended again. Therefore, we need to pay attention to the focus o...

Automated detection of visually salient regions is an active area of research in computer vision. Salient regions can serve as inputs for object detectors as well as inputs for region-based registration algorithms. In this paper we consider the problem of speeding up computationally intensive bottom-up salient region detection in 3D medical volumes. The method uses the Kadir-Brady formulation o...

Visual localization during saccadic eye movements is prone to error. Flashes shortly before and after the onset of saccades are usually perceived to shift towards the saccade target, creating a "compression" pattern. Typically, the saccade landing point coincides with a salient saccade target. We investigated whether the mislocalization focus follows the actual saccade landing point or a salien...

This paper presents a new interest point detector for color images. It is based on a non linear filtering of the image which preserves edges, and on the use of a color point detector based on the Harris detector. We present how does interest points detectors work to justify the use of this filtering. We compare it with the Harris detector under the criteria of repeatibility, information content...

We present a computationally simple and general purpose scheme for the detection of all salient object contours in real images. The scheme is inspired by the mechanism of surround influence that is exhibited in 80% of neurons in the primary visual cortex of primates. It is based on the observation that the local context of a contour significantly affects the global saliency of the contour. The ...

This paper addresses the problem of detection and delin-eation of interest points in images as part of an automatic image and video indexing for search by content purposes project. We propose a novel key point detector based on multiresolution contrast information. We compare this detector to the Plessey feature point detector as well as the detector introduced in the SUSAN project. As we are i...

In this paper we propose a new statistical model for SAR images. According to this model, the SAR image amplitude follows a product of Rayleigh and Bessel functions. We derive the maximum likelihood feature detector for extracting terrain features from Synthetic Aperture Radar (SAR) images. The terrain features are classified as ridges and ravines according to their statistical properties and s...

In this paper, we present a generic and robust representation of video shots content expressed in terms of salient regions of activity. The proposed approach is based on salient points of the image space, thus minimizing the computational effort. Salient points are extracted from each frame. Their trajectories are computed between successive frames and the global motion model is estimated. Movi...