Quality Assessment for Omnidirectional Video: A Spatio-Temporal Distortion Modeling Approach
| Autor: | Pengwei Zhang, Pan Gao, Aljosa Smolic |
|---|---|
| Rok vydání: | 2022 |
| Předmět: |
Computer science
business.industry media_common.quotation_subject Pooling ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Video quality Computer Science Applications Visualization Dimension (vector space) Distortion Signal Processing Metric (mathematics) Media Technology Computer vision Quality (business) Artificial intelligence Electrical and Electronic Engineering business Omnidirectional antenna media_common |
| Zdroj: | IEEE Transactions on Multimedia. 24:1-16 |
| ISSN: | 1941-0077 1520-9210 |
| DOI: | 10.1109/tmm.2020.3044458 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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