This survey provides an introduction into eye tracking visualization with an overview of
existing techniques. Eye tracking is important for evaluating user behaviour. Analysing eye …

The recent study of overt attention during complex scene viewing has emphasized
explaining gaze behavior in terms of image properties and image salience independently of …

Predicting where people look in static scenes, aka visual saliency, has received significant
research interest recently. However, relatively less effort has been spent in understanding …

This paper explores gaze prediction in dynamic $360^ circ $ immersive videos, emph {ie},
based on the history scan path and VR contents, we predict where a viewer will look at an …

In this work, we contribute to video saliency research in two ways. First, we introduce a new
benchmark for predicting human eye movements during dynamic scene free-viewing, which …

In this paper, we propose a novel deep learning based video saliency prediction method,
named DeepVS. Specifically, we establish a large-scale eye-tracking database of videos …

Automatic saliency prediction in 360 videos is critical for viewpoint guidance applications
(eg, Facebook 360 Guide). We propose a spatial-temporal network which is (1) …

Eye tracking technology is becoming easier and cheaper to use, resulting in its increasing
application to numerous fields of research. The data collected during an eye tracking …

Visual saliency models have enjoyed a big leap in performance in recent years, thanks to
advances in deep learning and large scale annotated data. Despite enormous effort and …

Translation, accessibility and the viewing experience of foreign, deaf and blind audiences
has long been a neglected area of research within film studies. The same applies to the film …