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Summary: Seamless Video Editing
Hongcheng Wang
, Ramesh Raskar
, Narendra Ahuja
Beckman Institute, University of Illinois at Urbana-Champaign, USA
Mitsubishi Electric Research Laboratories, USA
Abstract
This paper presents a new framework for seamless video
Editing in the gradient domain. The spatio-temporal gra-
dient fields of target videos are modified or mixed to gen-
erate 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 co-
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