We present a robust salient region detection framework based on the color and orientation
distribution in images. The proposed framework consists of a color saliency framework and …

In many libre (free, open source) software projects, most of the development is performed by
a relatively small number of persons, the ldquocore teamrdquo. The stability and …

In this paper we propose a system for the analysis of user generated video (UGV). UGV
often has a rich camera motion structure that is generated at the time the video is recorded …

Medical Image Processing (MIP) is a major ally in e-health and telemedicine, enabling rapid
diagnosis with visual, quantitative and analytical assessment (Fessler, 2009). Remote care …

Visual attention has been a hot research point for many years and many new applications
are emerging especially for wireless multimedia services. In this paper a novel region-based …

Detecting visually attentive regions of an image is a challenging but useful issue in many
multimedia applications. In this paper, we describe a method to extract visual attentive …

Recently, the detection of visual attention regions (VAR) is becoming more important due to
its useful application in the area of multimedia. Although there exist a lot of approaches to …

Visual information presentations on small displays are being increased as the use of mobile
communication is increasing day by day. Digital image is one of the most popular forms of …

In this paper, we describe a new framework to extract visual attention regions in images
using robust subspace estimation and analysis techniques. We use simple features like hue …

With the rapid development of wireless networks and mobile devices, mobile learning has
got more and more attention. However, most of current learning resources (LR) were …