Saliency integration approaches have aroused general concern on unifying saliency maps from multiple saliency models. In fact, saliency integration is a weighted aggregation of multiple saliency maps, such that measuring the weights of saliency models is essential. In this paper, we propose an unsupervised model for saliency integration, namely the arbitrator model (AM), based on the Bayes’ pro...

Video compression has become increasingly crucial as video resolution and bitrate have surged in recent years. However, most widely applied methods do not fully exploit the characteristics of Human Visual System (HVS) to reduce perceptual redundancy videos. In this paper, we propose a novel method that integrates visual saliency information with foveation redundancy. We present new approach sub...

Research and development of image quality assessment (IQA) algorithms have been in the focus computer vision processing community for decades. The intent IQA methods is to estimate perceptual digital images correlating as high possible with human judgements. Full-reference algorithms, which full access distortion-free images, usually contain two phases: local estimation pooling. Previous works ...

Urban monuments encompass a wide range of architectural works either intentionally or unintentionally. These works are often salient due to their inherently explicit or hidden components and qualities in the urban context. Therefore, they affect the mental-spatial representations of the environment and make the city legible. However, the ambiguity of effective components often complicates their...

Image segmentation process for high quality visual saliency map is very dependent on the existing visual saliency metrics. It is mostly only get sketchy effect of saliency map, and roughly based visual saliency map will affect the image segmentation results. The paper had presented the randomized visual saliency detection algorithm. The randomized visual saliency detection method can quickly ge...

In previous studies of saccadic targeting, the issue how visually guided saccades to unambiguous targets are programmed and executed has been examined. These studies have found different degrees of guidance for saccades depending on the task and task difficulty. In this study, we use ideal-observer analysis to estimate the visual information used for the first saccade during a search for a targ...

Advances in image quality assessment have shown the benefits of modelling functional components of the human visual system in image quality metrics. Visual saliency, a crucial aspect of the human visual system, is increasingly investigated recently. Current applications of visual saliency in image quality metrics are limited by our knowledge on the relation between visual saliency and quality p...

Deep neural networks provide unprecedented performance in all image classification problems, including biometric recognition systems, key elements smart city environments. Recent studies, however, have shown their vulnerability to adversarial attacks, spawning intense research this field. To improve system security, new countermeasures and stronger attacks are proposed by the day. On attacker’s...

Saliency map has been applied in diverse fields such as image segmentation, object detection, image scaling and so forth. Over the past decades, a variety of spatial saliency generation methods for still images have been introduced. Recently, motion saliency has gained much interest where motion data estimated from an image sequence are utilized. In this paper, we propose the saliency generatio...

The bottom-up saliency, an early stage of humans’ visual attention, can be considered as a binary classification problem between center and surround classes. Discriminant power of features for the classification is measured as mutual information between features and two classes distribution. The estimated discrepancy of two feature classes very much depends on considered scale levels; then, mul...