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

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

36 Citations (Scopus)

Abstract

With the development of Virtual Reality (VR) technology, single-viewpoint videos have been replaced by the multi-sviewpoint panoramic video owing to the fact that the latter brings people more immersive experiences.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

Original languageEnglish
Title of host publication2017 IEEE Visual Communications and Image Processing, VCIP 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1-4
Number of pages4
ISBN (Electronic)9781538604625
DOIs
Publication statusPublished - 2 Jul 2017
Event2017 IEEE Visual Communications and Image Processing, VCIP 2017 - St. Petersburg, United States
Duration: 10 Dec 201713 Dec 2017

Publication series

Name2017 IEEE Visual Communications and Image Processing, VCIP 2017
Volume2018-January

Conference

Conference2017 IEEE Visual Communications and Image Processing, VCIP 2017
Country/TerritoryUnited States
CitySt. Petersburg
Period10/12/1713/12/17

Keywords

  • Virtual reality
  • panoramic video
  • region of interest
  • saliency of panoramic image
  • video quality assessment

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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. In 2017 IEEE Visual Communications and Image Processing, VCIP 2017 (pp. 1-4). (2017 IEEE Visual Communications and Image Processing, VCIP 2017; Vol. 2018-January). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/VCIP.2017.8305133