Many visual attention models have been presented to obtain the saliency of a scene, ie, the
visually significant parts of a scene. However, some mechanisms are still not taken into …

Visual attention is the ability of the human vision system to detect salient parts of the scene,
on which higher vision tasks, such as recognition, can focus. In human vision, it is believed …

Modeling visual attention is a challenging task for machine vision. In this paper, inspired by
the mechanism of human visual system, we propose an integrated model to detect generic …

Existing saliency models have been designed and evaluated for predicting the saliency in
distortion-free images. However, in practice, the image quality is affected by a host of factors …

The top-down guidance of visual attention is an important factor allowing humans to
effectively process incoming visual information. Our understanding of the processes …

Visual attention is a mechanism of the visual system that can select relevant objects from a
specific scene. Interactions among neurons in multiple cortical areas are considered to be …

Visual attention is one of the most significant characteristics for selecting and understanding
the outside redundancy world. The human vision system cannot process all information …

Visual attention is a process that enables biological and machine vision systems to select
the most relevant regions from a scene. Relevance is determined by two components: 1) top …

This study presents a novel combinational visual attention system which applies both bottom-
up and top-down information. This can be employed in further processing such as object …

Visual Saliency aims to detect the most important regions of an image from a perceptual
point of view. More in detail, the goal of Visual Saliency is to build a Saliency Map revealing …