State-of-the-Art in 360° Video/Image Processing: Perception, Assessment and Compression

被引：189

作者：

Xu, Mai ^{[1
]}

Li, Chen ^{[1
]}

Zhang, Shanyi ^{[1
]}

Le Callet, Patrick ^{[2
]}

机构：

[1] Beihang Univ, Sch Elect & Informat Engn, Beijing 100191, Peoples R China

[2] Univ Nantes, Polytech Nantes, F-44306 Nantes 3, France

来源：

IEEE JOURNAL OF SELECTED TOPICS IN SIGNAL PROCESSING | 2020年 / 14卷 / 01期

关键词：

360 degrees video; image; perception; assessment; comp-ression; IMAGE QUALITY ASSESSMENT; STRUCTURAL SIMILARITY; SALIENCY ESTIMATION; VISUAL-ATTENTION; VIDEO; PREDICTION; INDEX;

D O I：

10.1109/JSTSP.2020.2966864

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Nowadays, 360 degrees video/image has been increasingly popular and drawn great attention. The spherical viewing range of 360 degrees video/image accounts for huge data, which pose the challenges to 360 degrees video/image processing in solving the bottleneck of storage, transmission, etc. Accordingly, the recent years have witnessed the explosive emergence of works on 360 degrees video/image processing. In this article, we review the state-of-the-art works on 360 degrees video/image processing from the aspects of perception, assessment and compression. First, this article reviews both datasets and visual attention modelling approaches for 360 degrees video/image. Second, we survey the related works on both subjective and objective visual quality assessment (VQA) of 360 degrees video/image. Third, we overview the compression approaches for 360 degrees 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 degrees video/image processing.

引用

页码：5 / 26

页数：22

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