The anterior cingulate cortex (ACC) and frontoinsular cortex (FI) have been implicated in processing information across a variety of domains, including those related to attention and emotion. However, their role in rapid information processing, for example, as required for timely processing of salient stimuli, is not well understood. Here, we designed an emotional face priming paradigm and empl...

—Saliency computation has become a popular research field for many applications due to the useful information provided by saliency maps. For a saliency map, local relations around the salient regions in multi-channel perspective should be taken into consideration by aiming uniformity on the region of interest as an internal approach. And, irrelevant salient regions have to be avoided as much as...

We present a novel spatiotemporal saliency detection method to estimate salient regions in videos based on the gradient flow field and energy optimization. The proposed gradient flow field incorporates two distinctive features: 1) intra-frame boundary information and 2) inter-frame motion information together for indicating the salient regions. Based on the effective utilization of both intra-f...

We introduce an efficient, robust means of obtaining reliable surface descriptions, suitable for object recognition, at multiple scales from range data. Mean and Gaussian curvatures are used to segment the surface into regions of four saliency classes, each based on curvature consistency. We evaluate curvature consistency in a robust multivoting scheme. Contiguous regions consistent in both mea...

This paper describes a technique to automatically locate emphasized segments of a speech recording based on pitch. These salient portions can be used in a variety of applications, but were originally designed to be used in an interactive system that enables high-speed skimming and browsing of speech recordings. Previous techniques to detect emphasis have used Hidden Markov Models; emphasized re...

Computer analysis of spoken picture descriptions shows that schizophrenic patients produce descriptions which are less complete and more disorganized than those produced by healthy controls. Completeness was measured by the relative presence of salient items mentioned in the picture. Organization was measured by the number of transitions between regions in the picture. This study also shows tha...

Non-photorealistic rendering techniques work on image features and often manipulate a set of characteristics such as edges and texture to achieve a desired depiction of the scene. Most computational photography methods decompose an image using edge preserving filters and work on the resulting base and detail layers independently to achieve desired visual effects. We propose a new approach for c...

In image retrieval scenarios, many methods use interest point detection at an early stage to find regions in which descriptors are calculated. Finding salient locations in image data is crucial for these tasks. Observing that most current methods use only the luminance information of the images, we investigate the use of colour information in interest point detection. Based on the Harris corner...

Selective attention is the strategy used by biological sensory systems to solve the problem of limited parallel processing capacity: salient subregions of the input stimuli are serially processed, while non–salient regions are suppressed. We present an mixed mode analog/digital Very Large Scale Integration implementation of a building block for a multi–chip neuromorphic hardware model of select...

Automatic Salient object detection has received tremendous attention from research community and has been an increasingly important tool in many computer vision tasks. This paper proposes a novel bottom-up salient object detection framework which considers both foreground and background cues. First, A series of background and foreground seeds are extracted from an image reliably, and then used ...