Content-based image retrieval (CBIR) is a collection of techniques for retrieving images on the basis of features, such as color, texture and shape. An efficient tool, which is widely used in CBIR, is that of color image histograms. The classic method of color histogram creation results in very large histograms with large variations between neighboring bins. Thus, small changes in the image mig...

Objective:  Patient satisfaction is one of the most important indicators for measuring the quality of emergency services and health care. The purpose of this study was to evaluate the patients’ satisfaction in the emergency department (ED)...

A distributed application may be considered as a set of interacting entities continuously evolving. Such application can be modeled as a graph with one-to-one mappings between vertices and entities and between edges and communications. Performances depend directly on a good load balancing of the entities between available computing devices and on the minimization of the impact of the communicat...

This paper introduces a complete framework for temporal video segmentation. First, a computationally efficient shot extraction method is introduced, which adopts the normalized graph partition approach, enriched with a non-linear, multiresolution filtering of the similarity vectors involved. The shot boundary detection technique proposed yields high precision (90%) and recall (95%) rates, for a...

In this paper, a coherent computational model of visual selective attention for color pictures is described its performances are precisely evaluated . The model based on some important behaviours of the human visual system is composed of four parts: visibility, perception, perceptual grouping and saliency map construction. This paper focuses mainly on its performances assessment by achieving ex...

In this paper, new sensors for the chromatic adaptation transform (CAT) are found. They have been obtained by the independent numerical minimization of 6 perceptual error metrics over 16 corresponding color pair (CCP) data sets, including Lam's set, using as starting point for the minimization 4 known and commonly used sensors. An analysis of their performances has shown that the best performan...

Thirty young, unmedicated, outpatient, depressed women were compared to an equal number of matching controls on a series of neuropsychological tests purported to be sensitive to the executive functions. Specifically, the measures included the Design Fluency Test, Hand Dynamometer tasks of grip strength, perseveration, and fatigue, the FAS Verbal Fluency Test, the Stroop Color and Word Test, and...

This paper presents a novel approach to detect the buildings by automization of the training area collecting stage for supervised classification. The method based on the fact that a 3d building structure should cast a shadow under suitable imaging conditions. Therefore, the methodology begins with the detection and masking out the shadow areas using luminance component of the LAB color space, w...

Visual content description is a key issue for machine-based image analysis and understanding. A good visual descriptor should be both discriminative enough and computationally efficient while possessing some properties of robustness to viewpoint changes and lighting condition variations. In this paper, we propose several new local descriptors based on color orthogonal local binary patterns comb...

Face color information can play an important role in face recognition (FR) and it can be used to considerably improve FR performance obtained using only grayscale images. The color-based FR methods involve a preprocessing step where a color image is converted into either a monochromatic image or an image having a different color representation. In practical FR systems, the recording or transmis...