Video Texture Synthesis Based on Flow-Like Stylization Painting

The paper presents an NP-video rendering system based on natural phenomena. It provides a simple nonphotorealistic video synthesis system in which user can obtain a flow-like stylization painting and infinite video scene. Firstly, based on anisotropic Kuwahara filtering in conjunction with line inte...

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Main Authors: Qian Wenhua, Xu Dan, Yue Kun, Guan Zheng
Format: Article
Language:English
Published: Wiley 2014-01-01
Series:The Scientific World Journal
Online Access:http://dx.doi.org/10.1155/2014/689496
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author Qian Wenhua
Xu Dan
Yue Kun
Guan Zheng
author_facet Qian Wenhua
Xu Dan
Yue Kun
Guan Zheng
author_sort Qian Wenhua
collection DOAJ
description The paper presents an NP-video rendering system based on natural phenomena. It provides a simple nonphotorealistic video synthesis system in which user can obtain a flow-like stylization painting and infinite video scene. Firstly, based on anisotropic Kuwahara filtering in conjunction with line integral convolution, the phenomena video scene can be rendered to flow-like stylization painting. Secondly, the methods of frame division, patches synthesis, will be used to synthesize infinite playing video. According to selection examples from different natural video texture, our system can generate stylized of flow-like and infinite video scenes. The visual discontinuities between neighbor frames are decreased, and we also preserve feature and details of frames. This rendering system is easy and simple to implement.
format Article
id doaj-art-07838696dece447ab9527aead9d2d660
institution Kabale University
issn 2356-6140
1537-744X
language English
publishDate 2014-01-01
publisher Wiley
record_format Article
series The Scientific World Journal
spelling doaj-art-07838696dece447ab9527aead9d2d6602025-02-03T01:11:49ZengWileyThe Scientific World Journal2356-61401537-744X2014-01-01201410.1155/2014/689496689496Video Texture Synthesis Based on Flow-Like Stylization PaintingQian Wenhua0Xu Dan1Yue Kun2Guan Zheng3Department of Computer Science and Engineering, School of Information Science and Engineering, Yunnan University, Kunming 650091, ChinaDepartment of Computer Science and Engineering, School of Information Science and Engineering, Yunnan University, Kunming 650091, ChinaDepartment of Computer Science and Engineering, School of Information Science and Engineering, Yunnan University, Kunming 650091, ChinaDepartment of Computer Science and Engineering, School of Information Science and Engineering, Yunnan University, Kunming 650091, ChinaThe paper presents an NP-video rendering system based on natural phenomena. It provides a simple nonphotorealistic video synthesis system in which user can obtain a flow-like stylization painting and infinite video scene. Firstly, based on anisotropic Kuwahara filtering in conjunction with line integral convolution, the phenomena video scene can be rendered to flow-like stylization painting. Secondly, the methods of frame division, patches synthesis, will be used to synthesize infinite playing video. According to selection examples from different natural video texture, our system can generate stylized of flow-like and infinite video scenes. The visual discontinuities between neighbor frames are decreased, and we also preserve feature and details of frames. This rendering system is easy and simple to implement.http://dx.doi.org/10.1155/2014/689496
spellingShingle Qian Wenhua
Xu Dan
Yue Kun
Guan Zheng
Video Texture Synthesis Based on Flow-Like Stylization Painting
The Scientific World Journal
title Video Texture Synthesis Based on Flow-Like Stylization Painting
title_full Video Texture Synthesis Based on Flow-Like Stylization Painting
title_fullStr Video Texture Synthesis Based on Flow-Like Stylization Painting
title_full_unstemmed Video Texture Synthesis Based on Flow-Like Stylization Painting
title_short Video Texture Synthesis Based on Flow-Like Stylization Painting
title_sort video texture synthesis based on flow like stylization painting
url http://dx.doi.org/10.1155/2014/689496
work_keys_str_mv AT qianwenhua videotexturesynthesisbasedonflowlikestylizationpainting
AT xudan videotexturesynthesisbasedonflowlikestylizationpainting
AT yuekun videotexturesynthesisbasedonflowlikestylizationpainting
AT guanzheng videotexturesynthesisbasedonflowlikestylizationpainting