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Real-time video stylization using spatial-temporal gabor filtering
Wang R.5; Li P.2; Sheng B.4,5; Sun H.3; Wu E.1,4
2016-12-03
Conference Name15th ACM SIGGRAPH International Conference on Virtual Reality Continuum and Its Applications in Industry (VRCAI)
Source PublicationProceedings - VRCAI 2016: 15th ACM SIGGRAPH Conference on Virtual-Reality Continuum and Its Applications in Industry
Volume1
Pages299-307
Conference DateDEC 03-04, 2016
Conference PlaceBeijing Normal Univ, Zhuhai, PEOPLES R CHINA
Abstract

This paper describes a new video stylization approach that achieves non-photorealistic rendering effects by using highly efficient spatial-temporal Gabor filtering. An edge extraction algorithm is developed to detect long coherent edges, to which the human visual system is sensitive. A nonlinear diffusion is then applied to remove unimportant details. Our approach extends the optical flow computation for constructing the Gabor flow to represent pixel similarity, and to preserve the temporal coherence when applied to video sequences. In particular, our video stylization is designed in a spatiotemporal manner to achieve temporal coherence in resulting animations. Real-time performance is achieved through the highly parallel implementation on modern graphics hardware (GPU). Therefore, our video stylization can be naturally applied to real-time video communication and interactive video-based rendering. The experimental results have demonstrated the high-quality production of our real-time video stylization.

KeywordFeature Space Gabor Flow Spatial-temporal Processing Temporal Coherence Video Stylization
DOI10.1145/3013971.3013986
URLView the original
Indexed BySCI
Language英语
WOS Research AreaComputer Science
WOS SubjectComputer Science, Artificial Intelligence ; Computer Science, Theory & Methods
WOS IDWOS:000414281600047
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Citation statistics
Document TypeConference paper
CollectionFaculty of Science and Technology
Affiliation1.Universidade de Macau
2.The Education University of Hong Kong
3.Chinese University of Hong Kong
4.Chinese Academy of Sciences
5.Shanghai Jiao Tong University
Recommended Citation
GB/T 7714
Wang R.,Li P.,Sheng B.,et al. Real-time video stylization using spatial-temporal gabor filtering[C],2016:299-307.
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