Full-Frame Video Stabilization

Matsushita, Yasuyuki; Ofek, Eyal; Tang, Xiaoou; Shum, Heung-Yeung

doi:10.1109/cvpr.2005.166

Cited by 115 publications

(83 citation statements)

References 12 publications

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“…Here, the missing parts are filled up using our method to create video with the full spatial extent. The results here are comparable with those in [23]. for different window locations n, the actual pixel color c p is the same for all overlapping windows W p n .…”

Section: Appendixsupporting

confidence: 84%

Space-Time Completion of Video

Wexler

Shechtman

Irani

2007

IEEE Trans. Pattern Anal. Mach. Intell.

635

304

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Abstract-This paper presents a new framework for the completion of missing information based on local structures. It poses the task of completion as a global optimization problem with a well-defined objective function and derives a new algorithm to optimize it. Missing values are constrained to form coherent structures with respect to reference examples. We apply this method to space-time completion of large space-time "holes" in video sequences of complex dynamic scenes. The missing portions are filled in by sampling spatiotemporal patches from the available parts of the video, while enforcing global spatio-temporal consistency between all patches in and around the hole. The consistent completion of static scene parts simultaneously with dynamic behaviors leads to realistic looking video sequences and images. Space-time video completion is useful for a variety of tasks, including, but not limited to: 1) Sophisticated video removal (of undesired static or dynamic objects) by completing the appropriate static or dynamic background information. 2) Correction of missing/corrupted video frames in old movies. 3) Modifying a visual story by replacing unwanted elements. 4) Creation of video textures by extending smaller ones. 5) Creation of complete field-of-view stabilized video. 6) As images are one-frame videos, we apply the method to this special case as well.

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Section: Appendixsupporting

confidence: 84%

Space-Time Completion of Video

Wexler

Shechtman

Irani

2007

IEEE Trans. Pattern Anal. Mach. Intell.

635

304

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“…Thereby, the motion blur frame must be detected in the key-frame set and removed properly. The blur measurement method [11][12][13][14], which can quantify the degree of motion blur, is important, and most measurements focus on the brightness changes. As the frame is sharper, edge elements in the frame generally increase.…”

Section: Quality Evaluation Of Key Framesmentioning

confidence: 99%

Fast key-frame extraction for 3D reconstruction from a handheld video

Choi¹,

Kwon²,

Son³

et al. 2016

International journal of advanced smart convergence

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“…To reduce this annoying effect, video stabilization should be employed [37,39,40]. The basic idea of video stabilization is to estimate the global motion of the camera, say by means of optical flow on the video sequence, so that this annoying motion can be compensated and hence the videos of the scenes can be stabilized.…”

Section: Video Stabilizationmentioning

confidence: 99%