Sample-based weighted prediction with directional template matching for HEVC lossless coding
Wige E, Yammine G, Amon P, Hutter A, Kaup A (2013)
Publication Language: English
Publication Status: Published
Publication Type: Conference contribution, Conference Contribution
Publication year: 2013
Publisher: IEEE Computer Society
Pages Range: 305-308
Article Number: 6737744
Event location: San Jose, CA
ISBN: 9781479902941
Abstract
The recently introduced High Efficiency Video Coding (HEVC) standard is currently further investigated for potential use in professional applications. The considered Range Extensions should on the one hand introduce higher bit depths and additional color formats, and on the other hand the coding efficiency of HEVC for high fidelity compression as well as lossless compression is to be improved. In this paper we investigate and improve the recently introduced Sample-based Weighted Prediction (SWP) for HEVC lossless coding. Although being very efficient for natural video content, the SWP algorithm can be further improved for screen content by using a directional template predictor in cases where the SWP algorithm yields worse prediction. The mainly introduced predictor improves the lossless coding results by up to 9.9% compared to the unmodified HEVC reference software for lossless compression. © 2013 IEEE.
Authors with CRIS profile
Eugen Wige
Lehrstuhl für Multimediakommunikation und Signalverarbeitung (LMS)
Gilbert Yammine
Lehrstuhl für Multimediakommunikation und Signalverarbeitung (LMS)
Andre Kaup
Lehrstuhl für Multimediakommunikation und Signalverarbeitung (LMS)
How to cite
APA:
Wige, E., Yammine, G., Amon, P., Hutter, A., & Kaup, A. (2013). Sample-based weighted prediction with directional template matching for HEVC lossless coding. In Proceedings of the 2013 Picture Coding Symposium, PCS 2013 (pp. 305-308). San Jose, CA, US: IEEE Computer Society.
MLA:
Wige, Eugen, et al. "Sample-based weighted prediction with directional template matching for HEVC lossless coding." Proceedings of the 2013 Picture Coding Symposium, PCS 2013, San Jose, CA IEEE Computer Society, 2013. 305-308.
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