The DOI matches its Crossref record; 52 of the 52 references it cites were found in a registry or an index.
Saliency in VR: How Do People Explore Virtual Environments?
Open accessAbstract
Understanding how people explore immersive virtual environments is crucial for many applications, such as designing virtual reality (VR) content, developing new compression algorithms, or learning computational models of saliency or visual attention. Whereas a body of recent work has focused on modeling saliency in desktop viewing conditions, VR is very different from these conditions in that viewing behavior is governed by stereoscopic vision and by the complex interaction of head orientation, gaze, and other kinematic constraints. To further our understanding of viewing behavior and saliency in VR, we capture and analyze gaze and head orientation data of 169 users exploring stereoscopic, static omni-directional panoramas, for a total of 1980 head and gaze trajectories for three different viewing conditions. We provide a thorough analysis of our data, which leads to several important insights, such as the existence of a particular fixation bias, which we then use to adapt existing saliency predictors to immersive VR conditions. In addition, we explore other applications of our data and analysis, including automatic alignment of VR video cuts, panorama thumbnails, panorama video synopsis, and saliency-basedcompression.
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Cites
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Learning to Detect a Salient Object
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Cited by
State-of-the-Art in 360° Video/Image Processing: Perception, Assessment and Compression
Xu, M., Li, C., Zhang, S., & Callet, P. L. (2020) · IEEE Journal of Selected Topics in Signal Processing · doi:10.1109/jstsp.2020.2966864 · Cited by 281
Eye, Head and Torso Coordination During Gaze Shifts in Virtual Reality
Sidenmark, L., & Gellersen, H. (2020) · ACM Transactions on Computer-Human Interaction · doi:10.1145/3361218 · Cited by 163
Metadata
- Authors
- Sitzmann, V., Serrano, A., Pavel, A., Agrawala, M., Gutierrez, D., Masia, B., & Wetzstein, G.
- Venue
- IEEE Transactions on Visualization and Computer Graphics
- Published
- 2018-04
- Volume
- 24
- Issue
- 4
- Pages
- 1633-1642
- ISSN
- 1077-2626 (ISSN-L)
- OpenAlex
- W2561270043
- Cited by
- 459
- References
- 52
- FWCI
- 26.67
- Type
- journal article
- Language
- en
- Open access
- green
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