Quality Assessment for Omnidirectional Video: A Spatio-Temporal Distortion Modeling Approach
Citation:
Smolic, A., Gao, P., Zhang, P., Quality Assessment for Omnidirectional Video: A Spatio-Temporal Distortion Modeling Approach, IEEE Transactions on Multimedia, 2020, 1-1Download Item:
Abstract:
Omnidirectional video, also known as 360-degree video, has become increasingly popular nowadays due to its ability to provide immersive and interactive visual experiences. However, the ultra high resolution and the spherical observation space brought by the large spherical viewing range make omnidi-rectional video distinctly different from traditional 2D video. To date, the video quality assessment (VQA) for omnidirectional video is still an open issue. The existing VQA metrics for omnidirectional video only consider the spatial characteristics of distortions, but the temporal changes of spatial distortions can also considerably influence human visual perception. In this paper, we propose a spatiotemporal modeling approach to evaluate the quality of the omnidirectional video. Firstly, we construct a spatiotemporal quality assessment unit to evaluate the average distortion in temporal dimension at the eye fixation level, based upon which the smoothed distortion value is recursively calculated and consolidated by the characteristics of temporal variations. Then, we give a detailed solution of how to to integrate the three existing spatial VQA metrics into our approach. Besides, the cross-format omnidirectional video distortion measurement is also investigated. Finally, the spatiotemporal distortion of the whole video sequence is obtained by pooling. Based on the modeling approach, a full reference objective quality assessment metric for omnidirectional video is derived, namely OV-PSNR. The experimental results show that our proposed OV-PSNR greatly improves the prediction performance of the existing VQA metrics for omnidirectional video.
Sponsor
Grant Number
Science Foundation Ireland (SFI)
15/RP/2776
Author's Homepage:
http://people.tcd.ie/smolica
Author: Smolic, Aljosa
Type of material:
Journal ArticleCollections
Series/Report no:
IEEE Transactions on Multimedia;Availability:
Full text availableKeywords:
Omnidirectional video, Objective video quality assessment, Spatio-temporal distortion, Measurement, Distortion, Quality assessment, Video recording, Two dimensional displays, Visualization, Distortion measurementSubject (TCD):
Creative Technologies , Digital Engagement , Information technology in education , Multimedia & CreativityDOI:
10.1109/TMM.2020.3044458ISSN:
1520-9210Metadata
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