Field of view (FoV) prediction is critical in 360-degree video multicast, which is a key
component of the emerging virtual reality and augmented reality applications. Most of the …

360-degree videos have gained increasing popularity in recent years with the developments
and advances in Virtual Reality (VR) and Augmented Reality (AR) technologies. In such …

In virtual reality (VR), correct and precise estimations of user's visual fixations and head
movements can enhance the quality of experience by allocating more computation …

Saliency prediction in traditional images and videos has drawn extensive research interests
in recent years. Few works have been proposed for saliency prediction over 360° 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) …

The spherical domain representation of 360^ ∘∘ video/image presents many challenges
related to the storage, processing, transmission and rendering of omnidirectional videos …

To ensure 360-degree video's continuous playback and reduce the bandwidth waste,
predicting user's future fixation is indispensable. However, existing methods concentrate …

We study the problem of predicting the viewing probability of different parts of 3600 videos
when streaming them to head-mounted displays. We propose a fixation prediction network …

Abstract 360∘ video saliency detection is one of the challenging benchmarks for 360∘ video
understanding since non-negligible distortion and discontinuity occur in the projection of any …

As 360-degree videos and virtual reality (VR) applications become popular for consumer
and enterprise use cases, the desire to enable truly mobile experiences also increases …