In this paper, we propose a new technique for extracting salient regions in an image. Identification of salient regions is useful for region/object based image processing. Previous works on salient regions/points typically involve complex detection and are not always reliable in terms of perceptual importance and robustness. This paper presents an efficient salient-region extraction algorithm b...

Searching for an object in a complex visual scene involves selection mechanisms. Generally, it is assumed that efficient "pop-out" search involves mainly bottom-up processing, whereas inefficient search requires pronounced top-down control over visual processing. We used functional magnetic resonance imaging in behaving monkeys to explore the functional network involved in efficient visual sear...

A probabilistic definition of saliency is given in a form suitable for applications to image matching. In order to make this definition, the values of the pixels in pairs of matching regions are modeled using an elliptically symmetric distribution (ESD). The values of the pixels in background pairs of regions are also modeled using an ESD. If a region is given in one image, then the conditional...

Most studies that have used Kanizsa-type illusory figures to investigate perceptual completion have treated the crisp bounding illusory contours (ICs) and the enclosed region as nondissociable stimulus attributes. However, there is evidence that enclosed "salient regions" (SRs; Stanley & Rubin, 2003) are detected even in cases when bounding ICs are not perceptually completed. Here we used appar...

Conventional emotion classification methods focus on predefined segments such as sentences or speaking turns that are labeled and classified at the segment level. However, the emotional state dynamically fluctuates during human interactions, so not all the segments have the same relevance. We are interested in detecting regions within the interaction where the emotions are particularly salient,...

Several content based image retrieval systems rely on unsupervised image segmentation. We argue that in this application context global segmentation methods are not generally applicable. We propose an algorithm which combines local and area based information of multidimensional features, such as luminance, color and texture. Importantly, the selection of the regions with representative attribut...

We consider the task of processing 3D laser data for use in the Simultaneous Localization and Mapping Problem. The motivation for using 3D data comes in part from the impracticality of relying on 2D laser scanners when the vehicle operates on undulating terrain and in part from a desire to produce 3D maps of arbitrary, a priori unknown environments. We use an information-theoretic derived measu...

Motion is the most informative cue for human action recognition. Regions with high motion saliency indicate where actions occur and contain visual information that is most relevant to actions. In this paper, we propose a novel approach for human action recognition based on oriented motion salient regions (OMSRs). Firstly, we apply a bank of 3D Gabor filters and an opponent inhibition operator t...

Recently, a lot of research has been done on the matching of images and their structures. Although the approaches are very different, most methods use some kind of point selection from which descriptors or a hierarchy are derived. We focus here on the methods that are related to the detection of points and regions that can be detected in an affine invariant way. Most of the previous research co...

Human eye is perceptually more sensitive to certain colors and intensities and objects with such features are considered more salient. Detection of Salient image regions is useful in applications such as object based image retrieval, adaptive content delivery, adaptive region-of interest based image compression, and smart image resizing .This problem can be handled by mapping the pixels into va...