Video Painting Based on a Stabilized Time-Varying Flow Field

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 cohere...

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Bibliographic Details
Published inIEEE transactions on visualization and computer graphics Vol. 18; no. 1; pp. 58 - 67
Main Authors Jong-Chul Yoon, In-Kwon Lee, Kang, H.
Format Journal Article
LanguageEnglish
Published United States IEEE 01.01.2012
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects
Coherence
Color
flow-based filtering
Image color analysis
Mathematical analysis
Nonphotorealistic rendering
painterly rendering
Pixel
Preserves
Real time
Rendering (computer graphics)
Temporal logic
Three dimensional
Three dimensional displays
Vectors (mathematics)
video abstraction
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Summary: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.
Bibliography:ObjectType-Article-1
SourceType-Scholarly Journals-1
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ISSN:1077-2626
1941-0506
DOI:10.1109/TVCG.2011.47