TY - GEN
T1 - An objective assessment method based on multi-level factors for panoramic videos
AU - Yang, Shu
AU - Zhao, Junzhe
AU - Jiang, Tingting
AU - Wang, Jing
AU - Rahim, Tariq
AU - Zhang, Bo
AU - Xu, Zhaoji
AU - Fei, Zesong
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2017/7/2
Y1 - 2017/7/2
N2 - With the development of Virtual Reality (VR) technology, single-viewpoint videos have been replaced by the multi-sviewpoint panoramic video owing to the fact that the latter brings people more immersive experiences. To improve the quality of experience (QoE) of panoramic videos, the video quality assessment (VQA) method need to be investigated. However the design of the quality metric for panoramic videos is a more complicated and harder problem, since users' feelings are affected by more psychological and physiological factors. Traditional VQA methods cannot evaluate the quality of panoramic videos accurately. In this paper, we propose a general objective full-reference quality assessment method for panoramic videos. The proposed method is based on multi-level quality factors, which are calculated with region of interest (ROI) maps. The framework is flexible and expandable, and its objective output has a higher correlation with subjective scores than that of traditional VQA methods and existing panoramic video evaluation methods.
AB - With the development of Virtual Reality (VR) technology, single-viewpoint videos have been replaced by the multi-sviewpoint panoramic video owing to the fact that the latter brings people more immersive experiences. To improve the quality of experience (QoE) of panoramic videos, the video quality assessment (VQA) method need to be investigated. However the design of the quality metric for panoramic videos is a more complicated and harder problem, since users' feelings are affected by more psychological and physiological factors. Traditional VQA methods cannot evaluate the quality of panoramic videos accurately. In this paper, we propose a general objective full-reference quality assessment method for panoramic videos. The proposed method is based on multi-level quality factors, which are calculated with region of interest (ROI) maps. The framework is flexible and expandable, and its objective output has a higher correlation with subjective scores than that of traditional VQA methods and existing panoramic video evaluation methods.
KW - Virtual reality
KW - panoramic video
KW - region of interest
KW - saliency of panoramic image
KW - video quality assessment
UR - http://www.scopus.com/inward/record.url?scp=85050602972&partnerID=8YFLogxK
U2 - 10.1109/VCIP.2017.8305133
DO - 10.1109/VCIP.2017.8305133
M3 - Conference contribution
AN - SCOPUS:85050602972
T3 - 2017 IEEE Visual Communications and Image Processing, VCIP 2017
SP - 1
EP - 4
BT - 2017 IEEE Visual Communications and Image Processing, VCIP 2017
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2017 IEEE Visual Communications and Image Processing, VCIP 2017
Y2 - 10 December 2017 through 13 December 2017
ER -