Visual saliency is a computational process that identifies important locations and structure in the visual field. Most current methods for saliency rely on cues such as color and texture while ignoring depth information, which is known to be an important saliency cue in the human cognitive system. We propose a novel computational model of visual saliency which incorporates depth information. We...

Human visual system actively seeks salient regions and movements in video sequences to reduce the search effort. Computational visual saliency detection model provides important information for semantic understanding in many real world applications. In this paper, we propose a novel perception-oriented video saliency detection model to detect the attended regions for both interesting objects an...

Over the past few years, deep neural networks (DNNs) have exhibited great success in predicting the saliency of images. However, there are few works that apply DNNs to predict the saliency of generic videos. In this paper, we propose a novel DNN-based video saliency prediction method. Specifically, we establish a large-scale eye-tracking database of videos (LEDOV), which provides sufficient dat...

Single cell recordings in area V1 of the macaque monkey had suggested that saliency effects from orientation contrast might be delayed compared to the representation of other stimulus properties. This conjecture was tested in three series of experiments on regular line patterns. Experiment 1 investigated the time courses of saliency effects evoked either by the onset of a single line or by a ta...

A decision-theoretic formulation of visual saliency, first proposed for top-down processing (object recognition) (Gao & Vasconcelos, 2005a), is extended to the problem of bottom-up saliency. Under this formulation, optimality is defined in the minimum probability of error sense, under a constraint of computational parsimony. The saliency of the visual features at a given location of the visual ...

Detecting salient objects from images and videos has many useful applications in computer vision. In this paper, a novel spatiotemporal salient region detection approach is proposed. The proposed approach computes spatiotemporal saliency by estimating spatial and temporal saliencies separately. The spatial saliency is computed estimating of color contrast cue and color distribution cue by explo...

Visual saliency is a fundamental yet hard to define property of objects or locations in the visual world. In a context where objects and their representations compete to dominate our perception, saliency can be thought of as the "juice" that makes objects win the race. It is often assumed that saliency is extracted and represented in an explicit saliency map, which serves to determine the locat...

In prior work, we put forth a model of visual saliency motivated by information theoretic considerations [1]. In this effort we consider how this proposal extends to explain saliency in the spatiotemporal domain and further, propose a distributed representation for visual saliency comprised of localized hierarchical saliency computation. Evidence for the efficacy of the proposal in capturing as...

Saliency detection has become a very prominent subject for research in recent time. Many techniques has been defined for the saliency detection.In this paper number of techniques has been explained that include the saliency detection from the year 2000 to 2015, almost every technique has been included.all the methods are explained briefly including their advantages and disadvantages. Comparison...

Saliency map samples for eye fixation prediction are shown in Fig 1-2; saliency map samples for salient object detection are shown in Fig 3-7. A model of saliency-based visual attention for rapid scene analysis.