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17th International Conference on Pattern Recognition (ICPR'04) - Volume 3
Seamless Video Editing
Cambridge UK
August 23-August 26
ISBN: 0-7695-2128-2
Hongcheng Wang, University of Illinois at Urbana-Champaign
Ramesh Raskar, Mitsubishi Electric Research Laboratories (MERL)
Narendra Ahuja, University of Illinois at Urbana-Champaign
This paper presents a new framework for seamless video editing in the gradient domain. The spatio-temporal gradient fields of target videos are modified or mixed to generate a new gradient field, which is usually not integrable. We propose a 3D video integration algorithm, which finds a potential function, whose gradient field is closest to the resulting gradient field in the sense of least squares. The video is reconstructed by solving a 3D Poisson equation. We use a fast and accurate 3D discrete Poisson solver using diagonal multigrids. A set of gradient operators are defined for user interaction. The resulting video has temporal coherency and no artifacts. We evaluate our algorithm using a variety of examples.
Citation:
Hongcheng Wang, Ramesh Raskar, Narendra Ahuja, "Seamless Video Editing," icpr, vol. 3, pp.858-861, 17th International Conference on Pattern Recognition (ICPR'04) - Volume 3, 2004
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