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

Kang, D.W., Tian, F. and Seo, S.H., 2016. Perceptually Inspired Real-time Artistic Style Transfer for Video Stream. Journal of Real-Time Image Processing. (In Press)

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DOI: 10.1007/s11554-016-0612-0

Abstract

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
ISSN:1861-8219
Subjects:UNSPECIFIED
Group:Faculty of Science and Technology
ID Code:24358
Deposited By: Unnamed user with email symplectic@symplectic
Deposited On:12 Jul 2016 13:31
Last Modified:12 Jul 2016 13:31

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