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

Summary: 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 at Urbana-Champaign (UIUC), Urbana, IL 61801
Email: {wanghc, ningxu, ahuja}@vision.ai.uiuc.edu

Mitsubishi Electric Research Laboratories (MERL),Cambridge, MA
Email: raskar@merl.com
DESCRIPTION
Our goal is to develop tools that go beyond frame-
constrained manipulation such as resizing, color correction,
and simple transitions, and provide object-level operations
within frames. Some of our targeted video editing tasks include
transferring a motion picture to a new still picture, importing
a moving object into a new background, and compositing two
video sequences. The challenges behind this kind of complex
video editing tasks lie in two constraints:
1) Spacial consistency: Imported objects should blend with
the background seamlessly. Hence pixel replacement,

  

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

 

Collections: Computer Technologies and Information Sciences; Engineering