3 papers
cs.CV2021
Towards a Better Understanding of VR Sickness: Physical Symptom Prediction for VR Contents
Hak Gu Kim, Sangmin Lee, Seongyeop Kim +2
We address the black-box issue of VR sickness assessment (VRSA) by evaluating the level of physical symptoms of VR sickness. For the VR contents inducing the similar VR sickness le…
cs.CV2018
VR IQA NET: Deep Virtual Reality Image Quality Assessment using Adversarial Learning
Heoun-taek Lim, Hak Gu Kim, Yong Man Ro
In this paper, we propose a novel virtual reality image quality assessment (VR IQA) with adversarial learning for omnidirectional images. To take into account the characteristics o…
cs.CV2018
Measurement of exceptional motion in VR video contents for VR sickness assessment using deep convolutional autoencoder
Hak Gu Kim, Wissam J. Baddar, Heoun-taek Lim +2
This paper proposes a new objective metric of exceptional motion in VR video contents for VR sickness assessment. In VR environment, VR sickness can be caused by several factors wh…