Video painting based on a stabilized time-varying flow field

Jong Chul Yoon; In Kwon Lee; Henry Kang

doi:10.1109/TVCG.2011.47

Video painting based on a stabilized time-varying flow field

Jong Chul Yoon, In Kwon Lee, Henry Kang

College of Computing

Research output: Contribution to journal › Article › peer-review

8 Citations (Scopus)

Abstract

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 language	English
Article number	5728800
Pages (from-to)	58-67
Number of pages	10
Journal	IEEE Transactions on Visualization and Computer Graphics
Volume	18
Issue number	1
DOIs	https://doi.org/10.1109/TVCG.2011.47
Publication status	Published - 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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10.1109/TVCG.2011.47

Cite this

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Video painting based on a stabilized time-varying flow field

Abstract

Bibliographical note

All Science Journal Classification (ASJC) codes

Access to Document

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