Visual saliency is a cognitive psychology concept that makes some stimuli of a scene stand out relative to their neighbors and attract our attention. Computing visual saliency is a topic of recent interest. Here, we propose a graph-based method for saliency detection, which contains three stages: pre-processing, initial saliency detection and final saliency detection. The initial saliency map i...

Saliency regions attract more human’s attention than other regions in an image. Low- level and high-level features are utilized in saliency region detection. Low-level features contain primitive information such as color or texture while high-level features usually consider visual systems. Recently, some salient region detection methods have been proposed based on only low-level features or hig...

The unparticle is proposed by Georgi as a conceptual new physics beyond the standard model to describe the low energy sector of a nontrivial scale invariant sector of an effective theory. We consider the neutrino decay in unparticle scenario and investigate the effect of such decay for the case of ultra high energy neutrinos from GRB. The effect on the detection yield of these neutrinos are als...

I offer an integrated theory of the meaning of only in which the prejacent, while not presupposed, is both entailed and backgrounded, hence tends to project (following a general proposal about projection due to Simons et al. 2010). Moreover, I argue, contra Beaver & Brady (2008), that only is not conventionally associated with focus, the focus effects arising instead pragmatically. But I do ado...

Saliency detection has gained a lot of attention in image processing. In past few years many saliency detection methods have been proposed. In this paper we present various saliency detection methods. The discussed methods include Frequency-tuned salient region detection, Graphbased visual saliency detection, A spectral residual saliency detection, Global contrast based salient region detection...

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...

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...

It has been suggested that saliency mechanisms play a role in perceptual organization. This work evaluates the plausibility of a recently proposed generic principle for visual saliency: that all saliency decisions are optimal in a decision-theoretic sense. The discriminant saliency hypothesis is combined with the classical assumption that bottom-up saliency is a center-surround process to deriv...