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.
|Number of pages||10|
|Journal||IEEE Transactions on Visualization and Computer Graphics|
|Publication status||Published - 2012|
Bibliographical noteFunding 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
- Signal Processing
- Computer Vision and Pattern Recognition
- Computer Graphics and Computer-Aided Design