State-of-the-art in 360 video/image processing: Perception, assessment and compression

M Xu, C Li, S Zhang, P Le Callet - IEEE Journal of Selected …, 2020 - ieeexplore.ieee.org
Nowadays, 360° video/image has been increasingly popular and drawn great attention. The
spherical viewing range of 360° video/image accounts for huge data, which pose the …

A survey on 360-degree video: Coding, quality of experience and streaming

F Chiariotti - Computer Communications, 2021 - Elsevier
Abstract The commercialization of Virtual Reality (VR) headsets has made immersive and
360-degree video streaming the subject of intense interest in the industry and research …

Salgan360: Visual saliency prediction on 360 degree images with generative adversarial networks

FY Chao, L Zhang, W Hamidouche… - … on Multimedia & Expo …, 2018 - ieeexplore.ieee.org
Understanding visual attention of observers on 360° images gains interest along with the
booming trend of Virtual Reality applications. Extending existing saliency prediction …

ATSal: An Attention Based Architecture for Saliency Prediction in 360 Videos

Y Dahou, M Tliba, K McGuinness… - … Conference on Pattern …, 2021 - Springer
The spherical domain representation of 360^ ∘∘ video/image presents many challenges
related to the storage, processing, transmission and rendering of omnidirectional videos …

Video multimethod assessment fusion (VMAF) on 360VR contents

M Orduna, C Díaz, L Muñoz, P Pérez… - IEEE Transactions …, 2019 - ieeexplore.ieee.org
This paper describes the process carried out to validate the application of one of the most
robust and influential video quality metrics, Video Multimethod Assessment Fusion (VMAF) …

Visual attention in omnidirectional video for virtual reality applications

C Ozcinar, A Smolic - 2018 Tenth international conference on …, 2018 - ieeexplore.ieee.org
Understanding of visual attention is crucial for omnidirectional video (ODV) viewed for
instance with a head-mounted display (HMD), where only a fraction of an ODV is rendered …

Multi-Projection Fusion and Refinement Network for Salient Object Detection in 360 Omnidirectional Image

R Cong, K Huang, J Lei, Y Zhao… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Salient object detection (SOD) aims to determine the most visually attractive objects in an
image. With the development of virtual reality (VR) technology, 360 omnidirectional image …

Segmented spherical projection-based blind omnidirectional image quality assessment

X Zheng, G Jiang, M Yu, H Jiang - IEEE Access, 2020 - ieeexplore.ieee.org
In contrast with traditional images, omnidirectional image (OI) has a higher resolution and
provides the user with an interactive wide field of view. OI with equirectangular projection …

Rethinking 360deg Image Visual Attention Modelling With Unsupervised Learning.

YAD Djilali, T Krishna, K McGuinness… - Proceedings of the …, 2021 - openaccess.thecvf.com
Despite the success of self-supervised representation learning on planar data, to date it has
not been studied on 360deg images. In this paper, we extend recent advances in contrastive …

A Multi-FoV Viewport-Based Visual Saliency Model Using Adaptive Weighting Losses for 360 Images

FY Chao, L Zhang, W Hamidouche… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
360 media allows observers to explore the scene in all directions. The consequence is that
the human visual attention is guided by not only the perceived area in the viewport but also …