TY - JOUR
T1 - Perceptual video quality metric for compression artefacts
T2 - From two-dimensional to omnidirectional
AU - Zou, Wenjie
AU - Yang, Fuzheng
AU - Wan, Shuai
N1 - Publisher Copyright:
© The Institution of Engineering and Technology 2017.
PY - 2018/3/1
Y1 - 2018/3/1
N2 - In this study, the perceptual video quality (PVQ) for the vogue 360-degree video with compression artefacts viewed on the visual reality (VR) head-mounted display (HMD) is obtained for the first time by an elaborately designed subjective experiment. The characteristic of the PVQ of omnidirectional (360-degree) video on the VR HMD and PC monitor is then investigated. The PVQ on the HMD is found to be linearly related to the video coding quality (VCQ) on the PC monitor. A quality evaluation model is then proposed based on the mapping formula and a new assessment parameter, where the impact of the video resolution and display device is involved. In this way, the traditional video quality assessment metrics for two-dimensional video can be extended to assess the PVQ of the 360-degree video viewed on the HMD. At last, the video structural similarity metric is taken as an example to predict the input of the proposed model, i.e. the VCQ of the 360-degree video. Experimental results demonstrate that the proposed model can effectively and conveniently solve the challenge of PVQ assessment for the 360-degree video with compression distortions on the HMD.
AB - In this study, the perceptual video quality (PVQ) for the vogue 360-degree video with compression artefacts viewed on the visual reality (VR) head-mounted display (HMD) is obtained for the first time by an elaborately designed subjective experiment. The characteristic of the PVQ of omnidirectional (360-degree) video on the VR HMD and PC monitor is then investigated. The PVQ on the HMD is found to be linearly related to the video coding quality (VCQ) on the PC monitor. A quality evaluation model is then proposed based on the mapping formula and a new assessment parameter, where the impact of the video resolution and display device is involved. In this way, the traditional video quality assessment metrics for two-dimensional video can be extended to assess the PVQ of the 360-degree video viewed on the HMD. At last, the video structural similarity metric is taken as an example to predict the input of the proposed model, i.e. the VCQ of the 360-degree video. Experimental results demonstrate that the proposed model can effectively and conveniently solve the challenge of PVQ assessment for the 360-degree video with compression distortions on the HMD.
UR - http://www.scopus.com/inward/record.url?scp=85042746358&partnerID=8YFLogxK
U2 - 10.1049/iet-ipr.2017.0826
DO - 10.1049/iet-ipr.2017.0826
M3 - 文章
AN - SCOPUS:85042746358
SN - 1751-9659
VL - 12
SP - 374
EP - 381
JO - IET Image Processing
JF - IET Image Processing
IS - 3
ER -