Understanding how people explore immersive virtual environments is crucial for many
applications, such as designing virtual reality (VR) content, developing new compression …

How best to evaluate a saliency model's ability to predict where humans look in images is an
open research question. The choice of evaluation metric depends on how saliency is …

Abstract Content-Aware Image Retargeting (CAIR) techniques are important in multimedia
applications for displaying images on various display devices. This paper first provides a …

Traditional eye tracking requires specialized hardware, which means collecting gaze data
from many observers is expensive, tedious and slow. Therefore, existing saliency prediction …

For many applications in graphics, design, and human computer interaction, it is essential to
understand where humans look in a scene. Where eye tracking devices are not a viable …

Andrew T. Duchowski Theory and Practice Third Edition Page 1 Eye Tracking Methodology
Andrew T. Duchowski Theory and Practice Third Edition Page 2 Eye Tracking Methodology …

In this paper, we study the salient object detection problem for images. We formulate this
problem as a binary labeling task where we separate the salient object from the background …

Effective resizing of images should not only use geometric constraints, but consider the
image content as well. We present a simple image operator called seam carving that …

We present a" scale-and-stretch" warping method that allows resizing images into arbitrary
aspect ratios while preserving visually prominent features. The method operates by …

Content aware resizing gained popularity lately and users can now choose from a battery of
methods to retarget their media. However, no single retargeting operator performs well on all …