Video painting based on a stabilized time-varying flow field

Jong Chul Yoon, In Kwon Lee, Henry Kang

Research output: Contribution to journalArticlepeer-review

9 Citations (Scopus)


We present a method for constructing 3D feature flow from video and its application to video stylization. Our method extracts smoothly aligned 3D vectors that describe the smallest variation of colors within a spatiotemporal video cube, and thus effectively preserves both spatial and temporal coherence in a relatively inexpensive manner. As an application of this flow field we present a particle-based video stylization technique to rerender the video in a feature enhancing, painterly style. Our method consists of per-pixel operations and is suitable for GPU implementation, which enables real-time video stylization.

Original languageEnglish
Article number5728800
Pages (from-to)58-67
Number of pages10
JournalIEEE Transactions on Visualization and Computer Graphics
Issue number1
Publication statusPublished - 2012

Bibliographical note

Funding Information:
This work was supported by Mid-Career Researcher Program through NRF grant funded by the MEST (No. 20110000140).

All Science Journal Classification (ASJC) codes

  • Software
  • Signal Processing
  • Computer Vision and Pattern Recognition
  • Computer Graphics and Computer-Aided Design


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