Perceptually inspired real-time artistic style transfer for video stream

Authors: Kang, D.W., Tian, F. and Seo, S.H.

http://eprints.bournemouth.ac.uk/24358/

Journal: Journal of Real-Time Image Processing

Publisher: Springer Berlin Heidelberg

ISSN: 1861-8219

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.

This data was imported from Scopus:

Authors: Kang, D., Tian, F. and Seo, S.

http://eprints.bournemouth.ac.uk/24358/

Journal: Journal of Real-Time Image Processing

Volume: 13

Issue: 3

Pages: 581-589

ISSN: 1861-8200

DOI: 10.1007/s11554-016-0612-0

© 2016, Springer-Verlag Berlin Heidelberg. 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.

This data was imported from Web of Science (Lite):

Authors: Kang, D., Tian, F. and Seo, S.

http://eprints.bournemouth.ac.uk/24358/

Journal: JOURNAL OF REAL-TIME IMAGE PROCESSING

Volume: 13

Issue: 3

Pages: 581-589

eISSN: 1861-8219

ISSN: 1861-8200

DOI: 10.1007/s11554-016-0612-0

The data on this page was last updated at 04:52 on April 20, 2019.