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)
Full text available as:
PDF (SPRINGER OPEN CHOICE AGREEMENT)
art%3A10.1007%2Fs11554-016-0612-0.pdf - Published Version
Available under License Creative Commons Attribution.
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.
|Group:||Faculty of Science & Technology|
|Deposited By:||Unnamed user with email symplectic@symplectic|
|Deposited On:||12 Jul 2016 13:31|
|Last Modified:||12 Jul 2016 13:31|
Downloads per month over past year
|Repository Staff Only -|