Joint Stabilization and Direction of 360deg Videos
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Abstract (arXiv)
360deg video provides an immersive experience for viewers, allowing them to freely explore the world by turning their head. However, creating high-quality 360deg video content can be challenging, as viewers may miss important events by looking in the wrong direction, or they may see things that ruin the immersion, such as stitching artifacts and the film crew. We take advantage of the fact that not all directions are equally likely to be observed; most viewers are more likely to see content located at ``true north'', i.e. in front of them, due to ergonomic constraints. We therefore propose 360deg video direction, where the video is jointly optimized to orient important events to the front of the viewer and visual clutter behind them, while producing smooth camera motion. Unlike traditional video, viewers can still explore the space as desired, but with the knowledge that the most important content is likely to be in front of them. Constraints can be user guided, either added directly on the equirectangular projection or by recording ``guidance'' viewing directions while watching the video in a VR headset, or automatically computed, such as via visual saliency or forward motion direction. To accomplish this, we propose a new motion estimation technique specifically designed for 360deg video which outperforms the commonly used 5-point algorithm on wide angle video. We additionally formulate the direction problem as an optimization where a novel parametrization of spherical warping allows us to correct for some degree of parallax effects. We compare our approach to recent methods that address stabilization-only and converting 360deg video to narrow field-of-view video.
Key facts. Cited by 6 papers in the map (data through 7 Oct 2026). First posted on arXiv 14 Jan 2019.
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Citing papers per year: 2022: 1; 2023: 1; 2024: 2; 2025: 2.
6 papers.
- 2022Deep 360^circ Optical Flow Estimation Based on Multi-Projection Fusioncited by 8
- 2024Eliminating Warping Shakes for Unsupervised Online Video Stitchingcited by 4
- 2023Real Time GAZED: Online Shot Selection and Editing of Virtual Cameras from Wide-Angle Monocular Video Recordingscited by 3
- 2025StabStitch++: Unsupervised Online Video Stitching with Spatiotemporal Bidirectional Warpscited by 3
- 2024360VFI: A Dataset and Benchmark for Omnidirectional Video Frame Interpolationcited by 1
- 2025EditIQ: Automated Cinematic Editing of Static Wide-Angle Videos via Dialogue Interpretation and Saliency Cuescited by 0
- 2025StabStitch++: Unsupervised Online Video Stitching with Spatiotemporal Bidirectional Warps8 May 2025
- 2025EditIQ: Automated Cinematic Editing of Static Wide-Angle Videos via Dialogue Interpretation and Saliency Cues4 Feb 2025
- 2024360VFI: A Dataset and Benchmark for Omnidirectional Video Frame Interpolation19 Jul 2024
- 2024Eliminating Warping Shakes for Unsupervised Online Video Stitching11 Mar 2024
- 2023Real Time GAZED: Online Shot Selection and Editing of Virtual Cameras from Wide-Angle Monocular Video Recordings27 Nov 2023
- 2022Deep 360^circ Optical Flow Estimation Based on Multi-Projection Fusion27 Jul 2022