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In this paper, we propose a taxonomy for 360{\deg} videos that categorizes videos based on moving objects and camera motion. We gathered and produced 28 videos based on the taxonomy, and recorded viewport traces from 60 participants…

Video acquired from multiple cameras located along a line is often rectified to video virtually obtained from cameras with ideally parallel optical axes collocated on a single plane and principal points on a line. Such an approach…

Multimedia · Computer Science 2023-06-13 Jarosław Samelak , Marek Domański

We introduce 4DGS360, a diffusion-free framework for 360$^{\circ}$ dynamic object reconstruction from casual monocular video. Existing methods often fail to reconstruct consistent 360$^{\circ}$ geometry, as their heavy reliance on 2D-native…

Computer Vision and Pattern Recognition · Computer Science 2026-03-24 Jae Won Jang , Yeonjin Chang , Wonsik Shin , Juhwan Cho , Nojun Kwak

Data immersion has advantages in astrophysical visualization. Complex multi-dimensional data and phase spaces can be explored in a seamless and interactive viewing environment. Putting the user in the data is a first step toward immersive…

Instrumentation and Methods for Astrophysics · Physics 2017-04-26 Brian R. Kent

Within the expansive domain of virtual reality (VR), 360{\deg} VR videos immerse viewers in a spherical environment, allowing them to explore and interact with the virtual world from all angles. While this video representation offers…

Standard video encoders developed for conventional narrow field-of-view video are widely applied to 360{\deg} video as well, with reasonable results. However, while this approach commits arbitrarily to a projection of the spherical frames,…

Computer Vision and Pattern Recognition · Computer Science 2017-12-13 Yu-Chuan Su , Kristen Grauman

What can we learn about a scene by watching it for months or years? A video recorded over a long timespan will depict interesting phenomena at multiple timescales, but identifying and viewing them presents a challenge. The video is too long…

Computer Vision and Pattern Recognition · Computer Science 2023-05-02 Melissa E. Swift , Wyatt Ayers , Sophie Pallanck , Scott Wehrwein

Cinemagraph is a unique form of visual media that combines elements of still photography and subtle motion to create a captivating experience. However, the majority of videos generated by recent works lack depth information and are confined…

Computer Vision and Pattern Recognition · Computer Science 2024-04-17 Jiyang Li , Lechao Cheng , Zhangye Wang , Tingting Mu , Jingxuan He

Volumetric video, which offers immersive viewing experiences, is gaining increasing prominence. With its six degrees of freedom, it provides viewers with greater immersion and interactivity compared to traditional videos. Despite their…

Multimedia · Computer Science 2024-12-19 Yili Jin , Kaiyuan Hu , Junhua Liu , Fangxin Wang , Xue Liu

In this paper, we describe a method to capture nearly entirely spherical (360 degree) depth information using two adjacent frames from a single spherical video with motion parallax. After illustrating a spherical depth information retrieval…

Computer Vision and Pattern Recognition · Computer Science 2022-06-15 Kenji Tanaka

The rise of capturing systems for objects and scenes in 3D with increased fidelity and immersion has led to the popularity of volumetric video contents that can be seen from any position and angle in 6 degrees of freedom navigation. Such…

Multimedia · Computer Science 2022-09-07 Irene Viola , Pablo Cesar

Experiencing high-fidelity volumetric video as seamlessly as 2D videos is a long-held dream. However, current dynamic 3DGS methods, despite their high rendering quality, face challenges in streaming on mobile devices due to computational…

Computer Vision and Pattern Recognition · Computer Science 2024-09-24 Penghao Wang , Zhirui Zhang , Liao Wang , Kaixin Yao , Siyuan Xie , Jingyi Yu , Minye Wu , Lan Xu

Humans excel at constructing panoramic mental models of their surroundings, maintaining object permanence and inferring scene structure beyond visible regions. In contrast, current artificial vision systems struggle with persistent,…

Computer Vision and Pattern Recognition · Computer Science 2025-12-16 Finlay G. C. Hudson , James A. D. Gardner , William A. P. Smith

360 images represent scenes captured in all possible viewing directions and enable viewers to navigate freely around the scene thereby providing an immersive experience. Conversely, conventional images represent scenes in a single viewing…

Computer Vision and Pattern Recognition · Computer Science 2019-12-24 Julius Surya Sumantri , In Kyu Park

This paper provides a comprehensive survey on pioneer and state-of-the-art 3D scene geometry estimation methodologies based on single, two, or multiple images captured under the omnidirectional optics. We first revisit the basic concepts of…

Computer Vision and Pattern Recognition · Computer Science 2024-01-18 Thiago Lopes Trugillo da Silveira , Paulo Gamarra Lessa Pinto , Jeffri Erwin Murrugarra Llerena , Claudio Rosito Jung

Horizon Run 5 (HR5) is a cosmological hydrodynamical simulation which captures the properties of the Universe on a Gpc scale while achieving a resolution of 1kpc. Inside the simulation box we zoom-in on a high-resolution cuboid region with…

The growing popularity of virtual and augmented reality communications and 360{\deg} video streaming is moving video communication systems into much more dynamic and resource-limited operating settings. The enormous data volume of 360{\deg}…

Multimedia · Computer Science 2018-03-23 Jacob Chakareski , Ridvan Aksu , Xavier Corbillon , Gwendal Simon , Viswanathan Swaminathan

High resolution panoramic video content is paramount for immersive experiences in Virtual Reality, but is non-trivial to collect as it requires specialized equipment and intricate camera setups. In this work, we introduce VideoPanda, a…

The spherical domain representation of 360 video/image presents many challenges related to the storage, processing, transmission and rendering of omnidirectional videos (ODV). Models of human visual attention can be used so that only a…

Computer Vision and Pattern Recognition · Computer Science 2020-11-24 Yasser Dahou , Marouane Tliba , Kevin McGuinness , Noel O'Connor

We present an algorithm to estimate depth in dynamic video scenes. We propose to learn and infer depth in videos from appearance, motion, occlusion boundaries, and geometric context of the scene. Using our method, depth can be estimated…

Computer Vision and Pattern Recognition · Computer Science 2015-10-27 S. Hussain Raza , Omar Javed , Aveek Das , Harpreet Sawhney , Hui Cheng , Irfan Essa