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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Bibliographische Detailangaben
Veröffentlicht in:IEEE transactions on visualization and computer graphics. - 1998. - 18(2012), 1 vom: 01. Jan., Seite 58-67
1. Verfasser: Jong-Chul Yoon (VerfasserIn)
Weitere Verfasser: In-Kwon Lee, Kang, H
Format: Online-Aufsatz
Sprache:English
Veröffentlicht: 2012
Zugriff auf das übergeordnete Werk:IEEE transactions on visualization and computer graphics
Schlagworte:Journal Article
Beschreibung
Zusammenfassung: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
Beschreibung:Date Completed 19.05.2016
Date Revised 05.02.2016
published: Print-Electronic
ErratumIn: IEEE Trans Vis Comput Graph. 2014 Feb;20(2):316
Citation Status PubMed-not-MEDLINE
ISSN:1941-0506
DOI:10.1109/TVCG.2011.47