Home

About

Advanced Search

Browse by Discipline

Scientific Societies

E-print Alerts

Add E-prints

E-print Network
FAQHELPSITE MAPCONTACT US


  Advanced Search  

 
Videoshop: A New Framework for Spatio-Temporal Video Editing in Gradient Domain*
 

Summary: 1
Videoshop: A New Framework for Spatio-Temporal
Video Editing in Gradient Domain*
Hongcheng Wang, Ning Xu, Ramesh Raskar and Narendra Ahuja
Beckman Institute, University of Illinois, Urbana, IL 61801
Email: {wanghc, ningxu, ahuja}@vision.ai.uiuc.edu
Mitsubishi Electrical Research Laboratories (MERL), Cambridge, MA
Email: raskar@merl.com
Abstract-- This paper proposes a new framework for video
editing in gradient domain. The spatio-temporal gradient fields
of target videos are modified and/or mixed to generate a new
gradient field which is usually not integrable. We compare
two methods to solve this "mixed gradient problem", i.e. the
variational method and loopy belief propagation. We propose
a 3D video integration algorithm, which uses the variational
method to find the potential function whose gradient field is
closest to the mixed gradient field in the sense of least squares.
The video is reconstructed by solving a 3D Poisson equation. The
main contributions of our framework lie in three aspects: firstly,
we derive a straightforward extension of current 2D gradient

  

Source: Ahuja, Narendra - Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign

 

Collections: Computer Technologies and Information Sciences; Engineering