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Smooth Loops from Unconstrained Video


Conference Paper


Converting unconstrained video sequences into videos that loop seamlessly is an extremely challenging problem. In this work, we take the first steps towards automating this process by focusing on an important subclass of videos containing a single dominant foreground object. Our technique makes two novel contributions over previous work: first, we propose a correspondence-based similarity metric to automatically identify a good transition point in the video where the appearance and dynamics of the foreground are most consistent. Second, we develop a technique that aligns both the foreground and background about this transition point using a combination of global camera path planning and patch-based video morphing. We demonstrate that this allows us to create natural, compelling, loopy videos from a wide range of videos collected from the internet.

Author(s): Laura Sevilla-Lara and Jonas Wulff and Kalyan Sunkavalli and Eli Shechtman
Book Title: Computer Graphics Forum (Proceedings of EGSR)
Volume: 34
Number (issue): 4
Pages: 99--107
Year: 2015

Department(s): Perceiving Systems
Research Project(s): Smooth Loops from Unconstrained Video
Bibtex Type: Conference Paper (inproceedings)
Paper Type: Conference

DOI: 10.1111/cgf.12682
Event Name: Eurographics Symposium on Rendering
Event Place: Darmstadt, Germany

URL: http://dx.doi.org/10.1111/cgf.12682

Attachments: pdf


  title = {Smooth Loops from Unconstrained Video},
  author = {Sevilla-Lara, Laura and Wulff, Jonas and Sunkavalli, Kalyan and Shechtman, Eli},
  booktitle = {Computer Graphics Forum (Proceedings of EGSR)},
  volume = {34},
  number = {4},
  pages = {99--107},
  year = {2015},
  url = {http://dx.doi.org/10.1111/cgf.12682}