Saliency in VR: How do people explore virtual environments?
Understanding how people explore immersive virtual environments is crucial for many
applications, such as designing virtual reality (VR) content, develo** new compression …
applications, such as designing virtual reality (VR) content, develo** new compression …
What do different evaluation metrics tell us about saliency models?
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 …
open research question. The choice of evaluation metric depends on how saliency is …
Turkergaze: Crowdsourcing saliency with webcam based eye tracking
Traditional eye tracking requires specialized hardware, which means collecting gaze data
from many observers is expensive, tedious and slow. Therefore, existing saliency prediction …
from many observers is expensive, tedious and slow. Therefore, existing saliency prediction …
Learning to predict where humans look
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 …
understand where humans look in a scene. Where eye tracking devices are not a viable …
[ΒΙΒΛΙΟ][B] Eye tracking methodology: Theory and practice
AT Duchowski, AT Duchowski - 2017 - Springer
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 …
Andrew T. Duchowski Theory and Practice Third Edition Page 2 Eye Tracking Methodology …
A comprehensive review on content-aware image retargeting: From classical to state-of-the-art methods
Abstract Content-Aware Image Retargeting (CAIR) techniques are important in multimedia
applications for displaying images on various display devices. This paper first provides a …
applications for displaying images on various display devices. This paper first provides a …
Learning to detect a salient object
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 …
problem as a binary labeling task where we separate the salient object from the background …
Seam carving for content-aware image resizing
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 …
image content as well. We present a simple image operator called seam carving that …
Optimized scale-and-stretch for image resizing
We present a" scale-and-stretch" war** method that allows resizing images into arbitrary
aspect ratios while preserving visually prominent features. The method operates by …
aspect ratios while preserving visually prominent features. The method operates by …
Multi-operator media retargeting
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 …
methods to retarget their media. However, no single retargeting operator performs well on all …