Automatic gaze analysis: A survey of deep learning based approaches
Eye gaze analysis is an important research problem in the field of Computer Vision and
Human-Computer Interaction. Even with notable progress in the last 10 years, automatic …
Human-Computer Interaction. Even with notable progress in the last 10 years, automatic …
Spherical convolution empowered viewport prediction in 360 video multicast with limited FoV feedback
J Li, L Han, C Zhang, Q Li, Z Liu - ACM Transactions on Multimedia …, 2023 - dl.acm.org
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 …
component of the emerging virtual reality and augmented reality applications. Most of the …
A review of deep learning solutions in 360 video streaming
The spread of virtual reality and 360° video applications has raised research interest in
develo** new streaming techniques. On one hand, 360° videos rely on strict network …
develo** new streaming techniques. On one hand, 360° videos rely on strict network …
Ebublio: Edge-assisted multiuser 360 video streaming
As one of the most important manifestations of virtual reality (VR), 360° panoramic videos in
recent years have experienced booming development due to the desire for immersive and …
recent years have experienced booming development due to the desire for immersive and …
Multi-agent federated reinforcement learning strategy for mobile virtual reality delivery networks
Virtual reality (VR) services have become increasingly popular but presented challenges for
wireless communications due to the large amounts of data requirements. In this work, we …
wireless communications due to the large amounts of data requirements. In this work, we …
Deep variational learning for multiple trajectory prediction of 360 head movements
Prediction of head movements in immersive media is key to design efficient streaming
systems able to focus the bandwidth budget on visible areas of the content. Numerous …
systems able to focus the bandwidth budget on visible areas of the content. Numerous …
Unifying Top-down and Bottom-up Scanpath Prediction Using Transformers
Most models of visual attention aim at predicting either top-down or bottom-up control as
studied using different visual search and free-viewing tasks. In this paper we propose the …
studied using different visual search and free-viewing tasks. In this paper we propose the …
Predicting human attention using computational attention
Most models of visual attention are aimed at predicting either top-down or bottom-up control,
as studied using different visual search and free-viewing tasks. We propose Human …
as studied using different visual search and free-viewing tasks. We propose Human …
{TileClipper}: Lightweight Selection of Regions of Interest from Videos for Traffic Surveillance
With traffic surveillance increasingly used, thousands of cameras on roads send video feeds
to cloud servers to run computer vision algorithms, requiring high bandwidth. State-of-the-art …
to cloud servers to run computer vision algorithms, requiring high bandwidth. State-of-the-art …
Perceptual quality aware adaptive 360-degree video streaming with deep reinforcement learning
As 360-degree videos are with high data volume, it is a great challenge to deliver the
content and provide a high quality of experience (QoE) for users. In this paper, we …
content and provide a high quality of experience (QoE) for users. In this paper, we …