The DOI matches its Crossref record; 117 of the 117 references it cites were found in a registry or an index.
State-of-the-Art in 360° Video/Image Processing: Perception, Assessment and Compression
Abstract
Nowadays, 360° video/image has been increasingly popular and drawn great attention. The spherical viewing range of 360° video/image accounts for huge data, which pose the challenges to 360° video/image processing in solving the bottleneck of storage, transmission, etc. Accordingly, the recent years have witnessed the explosive emergence of works on 360° video/image processing. In this article, we review the state-of-the-art works on 360° video/image processing from the aspects of perception, assessment and compression. First, this article reviews both datasets and visual attention modelling approaches for 360° video/image. Second, we survey the related works on both subjective and objective visual quality assessment (VQA) of 360° video/image. Third, we overview the compression approaches for 360° video/image, which either utilize the spherical characteristics or visual attention models. Finally, we summarize this overview article and outlook the future research trends on 360° video/image processing.
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Cites
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Artificial intelligence in the creative industries: a review
Anantrasirichai, N., & Bull, D. (2022) · Artificial Intelligence Review · doi:10.1007/s10462-021-10039-7 · Cited by 793
Blind omnidirectional image quality assessment with viewport oriented graph convolutional networks
Xu, J., Zhou, W., & Chen, Z. (2021) · IEEE Transactions on Circuits and Systems for Video Technology · doi:10.1109/tcsvt.2020.3015186 · Cited by 166
Metadata
- Authors
- Xu, M., Li, C., Zhang, S., & Callet, P. L.
- Venue
- IEEE Journal of Selected Topics in Signal Processing
- Published
- 2020-01
- Volume
- 14
- Issue
- 1
- Pages
- 5-26
- ISSN
- 1932-4553 (ISSN-L)
- 1941-0484
- OpenAlex
- W2999222884
- Cited by
- 281
- References
- 117
- FWCI
- 24.81
- Type
- journal article
- Language
- en
- Open access
- closed
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