An objective assessment method based on multi-level factors for panoramic videos

Shu Yang, Junzhe Zhao, Tingting Jiang, Jing Wang*, Tariq Rahim, Bo Zhang, Zhaoji Xu, Zesong Fei

*此作品的通讯作者

科研成果: 书/报告/会议事项章节会议稿件同行评审

36 引用 (Scopus)

摘要

With the development of Virtual Reality (VR) technology, single-viewpoint videos have been replaced by the multi-sviewpoint panoramic video owing to the fact that the latter brings people more immersive experiences.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.

源语言英语
主期刊名2017 IEEE Visual Communications and Image Processing, VCIP 2017
出版商Institute of Electrical and Electronics Engineers Inc.
1-4
页数4
ISBN(电子版)9781538604625
DOI
出版状态已出版 - 2 7月 2017
活动2017 IEEE Visual Communications and Image Processing, VCIP 2017 - St. Petersburg, 美国
期限: 10 12月 201713 12月 2017

出版系列

姓名2017 IEEE Visual Communications and Image Processing, VCIP 2017
2018-January

会议

会议2017 IEEE Visual Communications and Image Processing, VCIP 2017
国家/地区美国
St. Petersburg
时期10/12/1713/12/17

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引用此

Yang, S., Zhao, J., Jiang, T., Wang, J., Rahim, T., Zhang, B., Xu, Z., & Fei, Z. (2017). An objective assessment method based on multi-level factors for panoramic videos. 在 2017 IEEE Visual Communications and Image Processing, VCIP 2017 (页码 1-4). (2017 IEEE Visual Communications and Image Processing, VCIP 2017; 卷 2018-January). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/VCIP.2017.8305133