Background: Household income and other socioeconomic position (SEP) indicators are among the most salient social determinants of children’s emotions and behaviors. Some research has shown that income and other SEP indicators may have certain sex-specific effects on the structures and functions of particular brain regions. Objectives: To investigate sex differences in the association of househ...

In this paper, we introduce a novel technique for image matching and feature-based tracking. The technique is based on the idea of using the Scale-Saliency algorithm to pick a sparse number of ‘interesting’ or ‘salient’ features. Feature vectors for each of the salient regions are generated and used in the matching process. Due to the nature of the sparse representation of feature vectors gener...

At present, the Content-Based Image Retrieval (CBIR) system has become a hot research topic in the computer vision field. In the CBIR system, the accurate extractions of low-level features can reduce the gaps between high-level semantics and improve retrieval precision. This paper puts forward a new retrieval method aiming at the problems of high computational complexities and low precision of ...

Detection of salient image regions is useful for applications like image segmentation, adaptive compression, and region-based image retrieval.one of the important step for the earlier detection of lung disease is the computer aided diagnosis of lung images of the patient. The lung image is captured and is processed at first in order to do the segmentation process. Segmentation is done based on ...

2 Summary The arousal-biased competition (ABC) model predicts that arousal increases the gain on neural competition between stimuli representations. Thus, the model predicts that arousal simultaneously enhances processing of salient stimuli and impairs processing of relatively less-salient stimuli. We tested this model with a simple dot-probe task. On each trial, participants were simultaneousl...

The arousal-biased competition model predicts that arousal increases the gain on neural competition between stimuli representations. Thus, the model predicts that arousal simultaneously enhances processing of salient stimuli and impairs processing of relatively less-salient stimuli. We tested this model with a simple dot-probe task. On each trial, participants were simultaneously exposed to one...

We present a vision-based navigation and localization system using two biologically-inspired scene understanding models which are studied from human visual capabilities: (1) Gist model which captures the holistic characteristics and layout of an image and (2) Saliency model which emulates the visual attention of primates to identify conspicuous regions in the image. Here the localization system...