TY - GEN
T1 - VOLVQAD: An MPEG V-PCC Volumetric Video Quality Assessment Dataset
AU - Cox, Samuel Rhys
AU - Lim, May
AU - Ooi, Wei Tsang
PY - 2023/6/7
Y1 - 2023/6/7
N2 - We present VOLVQAD, a volumetric video quality assessment dataset consisting 7,680 ratings on 376 video sequences from 120 participants. The volumetric video sequences are first encoded with MPEG V-PCC using 4 different avatar models and 16 quality variations, and then rendered into test videos for quality assessment using 2 different background colors and 16 different quality switching patterns. The dataset is useful for researchers who wish to understand the impact of volumetric video compression on subjective quality. Analysis of the collected data are also presented in this paper.
AB - We present VOLVQAD, a volumetric video quality assessment dataset consisting 7,680 ratings on 376 video sequences from 120 participants. The volumetric video sequences are first encoded with MPEG V-PCC using 4 different avatar models and 16 quality variations, and then rendered into test videos for quality assessment using 2 different background colors and 16 different quality switching patterns. The dataset is useful for researchers who wish to understand the impact of volumetric video compression on subjective quality. Analysis of the collected data are also presented in this paper.
UR - http://dx.doi.org/10.1145/3587819.3592543
UR - https://dl.acm.org/doi/10.1145/3587819.3592543
UR - https://github.com/nus-vv-streams/volvqad-dataset
U2 - 10.1145/3587819.3592543
DO - 10.1145/3587819.3592543
M3 - Konferenceartikel i proceeding
BT - Proceedings of the 14th Conference on ACM Multimedia Systems (MMSys'23)
ER -