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Perceptually Inspired Real-time Artistic Style Transfer for Video Stream.

Kang, D., Tian, F. and Seo, S.H., 2017. Perceptually Inspired Real-time Artistic Style Transfer for Video Stream. Journal of Real-Time Image Processing, 13 (3), 581-589.

Full text available as:

10.1007%2Fs11554-016-0612-0.pdf - Published Version
Available under License Creative Commons Attribution.


DOI: 10.1007/s11554-016-0612-0


This study presents a real-time texture transfer method for artistic style transfer for video stream. We propose a parallel framework using a T-shaped kernel to enhance the computational performance. With regard to accelerated motion estimation, which is necessarily required for maintaining temporal coherence, we present a method using a downscaled motion field to successfully achieve high real-time performance for texture transfer of video stream. In addition, to enhance the artistic quality, we calculate the level of abstraction using visual saliency and integrate it with the texture transfer algorithm. Thus, our algorithm can stylize video with perceptual enhancements.

Item Type:Article
Group:Faculty of Science & Technology
ID Code:24358
Deposited By: Symplectic RT2
Deposited On:12 Jul 2016 13:31
Last Modified:14 Mar 2022 13:57


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