Kingston university gaming video dataset (kugvd)

Introduction

KUGVD dataset includes subjective quality assessment results for 90 video sequences obtained by encoding six different gaming videos using the H.264/MPEG-AVC codec standard in 15 different resolution-bitrate pairs (three resolution, five bitrates each). The dataset is designed inline with the GamingVideoSET dataset and was used to design two machine learning-based video quality metrics, more about which can be read in the paper here. 

The dataset is available for non-commercial purposes.

Download 

Dataset 

Paper [IEEE]

Citation

If you use this dataset in your work, kindly cite our paper:

N. Barman, E. Jammeh, S. A. Ghorashi and M. G. Martini, "No-Reference Video Quality Estimation Based on Machine Learning for Passive Gaming Video Streaming Applications," in IEEE Access, vol. 7, pp. 74511-74527, 2019, doi: 10.1109/ACCESS.2019.2920477.