The paper presents a skeleton-based approach for robust detection of perceptually salient shape features. Given a shape approximated by a polygonal surface, its skeleton is extracted using a three-dimensional Voronoi diagram technique proposed recently by Amenta et al. 3. Shape creases, ridges and ravines, are detected as curves corresponding to skeletal edges. Salient shape regions are extract...

In this paper, the effect of attention-based local feature selection to 15-class scene classification is investigated, as an extension of the previous researches showing the different effect of each spatial scale to its performance in the early stage of human vision processing. Visual saliency is used as a criterion for selecting the local regions from where HoG features are extracted. Experime...

Most image database prototypes and products focus mainly on similarity searches over syntactic features of images. DISIMA aims at providing querying on both syntactic and semantic features of images. The content of an image is viewed as a set of salient objects (regions of interest). Salient objects are organized into two levels: physical salient objects that store syntactic features and logica...

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...

This paper proposes an image retrieval system scheme based on salient region of interest. In our retrieval system, an image is represented by salient region of interest and background. The salient regions of interest roughly correspond to semantic objects, which separated from the background by a robust automated segmentation method based on the edge and region integration. The measure for the ...

In this paper, a salient region extraction method for creating picture collage based on stereo vision is proposed. Picture collage is a kind of visual image summary to arrange all input images on a given canvas, allowing overlay, to maximize visible visual information. The salient regions of each image are firstly extracted and represented as a depth map. The output picture collage shows as man...

The human visual system employs a selective attention mechanism to understand the visual world in an efficient manner. In this paper, we show how computational models of this mechanism can be exploited for the computer vision application of scene recognition. First, we consider saliency weighting and saliency pruning, and provide a comparison of the performance of different attention models in ...

Detection of salient image regions is useful for applications like image segmentation, adaptive compression, and region-based image retrieval. In this paper we present a novel method to determine salient regions in images using low-level features of luminance and color. The method is fast, easy to implement and generates high quality saliency maps of the same size and resolution as the input im...