Sample-based Weighted Prediction for Lossless Enhancement Layer Coding in SHVC
Heindel A, Wige E, Kaup A (2014)
Publication Language: English
Publication Status: Published
Publication Type: Conference contribution
Publication year: 2014
Journal
Pages Range: 3656-3660
Event location: Paris
ISBN: 978-1-4799-5751-4
DOI: 10.1109/ICIP.2014.7025742
Abstract
Many professional applications require video content to be compressed in a lossless manner. However, often it is also advantageous to have access to a lossy coded version of the same video content, for example for preview purposes. In this paper the Sample-based Weighted Prediction (SWP) algorithm is applied for two-layer lossy to lossless scalable video compression with SHVC. This means that lossy compression is used for the first layer, the so-called base layer, and lossless compression is used for the second layer, also referred to as enhancement layer. In order to increase the coding efficiency of the enhancement layer the SWP algorithm is used for sample-wise prediction. Depending on the quantization parameter for the base layer, significant bitrate savings considering both layers of up to 8.38% (up to 6.20% on average) compared to the unmodified SHVC reference software can be achieved.
Authors with CRIS profile
Andreas Heindel
Lehrstuhl für Multimediakommunikation und Signalverarbeitung (LMS)
Eugen Wige
Lehrstuhl für Multimediakommunikation und Signalverarbeitung (LMS)
Andre Kaup
Lehrstuhl für Multimediakommunikation und Signalverarbeitung (LMS)
How to cite
APA:
Heindel, A., Wige, E., & Kaup, A. (2014). Sample-based Weighted Prediction for Lossless Enhancement Layer Coding in SHVC. In Proceedings of the IEEE International Conference on Image Processing (ICIP) (pp. 3656-3660). Paris, FR.
MLA:
Heindel, Andreas, Eugen Wige, and André Kaup. "Sample-based Weighted Prediction for Lossless Enhancement Layer Coding in SHVC." Proceedings of the IEEE International Conference on Image Processing (ICIP), Paris 2014. 3656-3660.
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