Salient region detection has gradually become a popular topic in multimedia and computer
vision research. However, existing techniques exhibit remarkable variations in methodology …

Automatic composition optimization is a vital technique for computational photography
systems. Balance in composition is one of the agreed-upon principles of aesthetics and is …

This paper proposes a graph based diffusion method for image saliency detection problem
by adopting random walk with restart (RWR) model. Our method begins with computing …

Saliency detection is an important problem in many computer vision applications. As a kind
of popular method, graph based manifold ranking (GMR) has been successfully used in …

Saliency detection has shown a great role in many image processing applications. This
study introduces a new Bayesian framework for saliency detection. In this framework, image …

基于人类视觉注意机制的显著性对象检测模型作为能主动感知图像中重要信息的有效方法,
对探索视觉早期认知过程的大范围知觉信息组织具有重要意义. 然而, 由于夜间图像具有低信噪 …

In this paper, we propose to predict the quality score of saliency map by only looking over
the saliency map itself. In order to achieve this goal, we propose deep saliency quality …

摘要 The detection and identification of the ship target on the sea surface is significant for the
monitoring and the target strike. The weak ship target with less texture information is affected …

Since image background is normally composed of congenial regions, it can be represented
by a feature dictionary via sparse representation. Based on this theory, the authors propose …

Salient object detection has become a hot topic in computer vision as it can substantially
facilitate a wide range of applications. Conventional salient object detection models …