Investigating how people perceive virtual reality videos in the wild (i.e., those captured by everyday users) is a crucial and challenging task in VR-related applications due to complex authentic distortions localized in space and time. Existing panoramic video databases only consider synthetic distortions, assume fixed viewing conditions, and are limited in size. To overcome these shortcomings, we construct the VR Video Quality in the Wild (VRVQW) database, which is one of the first of its kind, and contains 502 user-generated videos with diverse content and distortion characteristics.

Dataset Files

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[1] Yuming Fang, Yiru Yao, Xiangjie Sui, Kede Ma, "VR Video Quality in the Wild", IEEE Dataport, 2023. [Online]. Available: http://dx.doi.org/10.21227/xgp1-vm07. Accessed: Jul. 22, 2024.
@data{xgp1-vm07-23,
doi = {10.21227/xgp1-vm07},
url = {http://dx.doi.org/10.21227/xgp1-vm07},
author = {Yuming Fang; Yiru Yao; Xiangjie Sui; Kede Ma },
publisher = {IEEE Dataport},
title = {VR Video Quality in the Wild},
year = {2023} }
TY - DATA
T1 - VR Video Quality in the Wild
AU - Yuming Fang; Yiru Yao; Xiangjie Sui; Kede Ma
PY - 2023
PB - IEEE Dataport
UR - 10.21227/xgp1-vm07
ER -
Yuming Fang, Yiru Yao, Xiangjie Sui, Kede Ma. (2023). VR Video Quality in the Wild. IEEE Dataport. http://dx.doi.org/10.21227/xgp1-vm07
Yuming Fang, Yiru Yao, Xiangjie Sui, Kede Ma, 2023. VR Video Quality in the Wild. Available at: http://dx.doi.org/10.21227/xgp1-vm07.
Yuming Fang, Yiru Yao, Xiangjie Sui, Kede Ma. (2023). "VR Video Quality in the Wild." Web.
1. Yuming Fang, Yiru Yao, Xiangjie Sui, Kede Ma. VR Video Quality in the Wild [Internet]. IEEE Dataport; 2023. Available from : http://dx.doi.org/10.21227/xgp1-vm07
Yuming Fang, Yiru Yao, Xiangjie Sui, Kede Ma. "VR Video Quality in the Wild." doi: 10.21227/xgp1-vm07