The human attention mechanism can be understood and simulated by closely associating
the saliency prediction task to neuroscience and psychology. Furthermore, saliency …

The predictions of 13 computational bottom-up saliency models and a newly introduced
Multiscale Contrast Conspicuity (MCC) metric are compared with human visual conspicuity …

In military operations signature reduction techniques such as camouflage nets, low-emissive
paints, and camouflage patterns are typically deployed to optimize the survivability of high …

In traditional graph-based optimization framework for salient object detection, an image is
over-segmented into superpixels and mapped to one single graph. The saliency value of …

In this paper, a new bottom-up visual saliency model is proposed. Based on the idea that
locally contrasted and globally rare features are salient, this model will be called “RARE” in …

Traditional pavement crack detection methods can not cope well with the complexity and
diversity of noises in large image area. To solve this problem, we propose a novel …

We present a new method to derive a multiscale urban camouflage pattern from a given set
of background image samples. We applied this method to design a camouflage pattern for a …

Attention and memory are very closely related and their aim is to simplify the acquired data
into an intelligent structured data set. Two main points are discussed in this paper. The first …

The International Gesture Workshops (GW) are interdisciplinary events for those researching
gesture-based communication across the disciplines. The focus of these events is a shared …

In the growing market of camera phones, new applications for the visually impaired are
nowadays being developed thanks to the increasing capabilities of these equipments. The …