Sample-based Weighted Prediction for Lossless Enhancement Layer Coding in SHVC

Conference contribution


Publication Details

Author(s): Heindel A, Wige E, Kaup A
Publication year: 2014
Pages range: 3656-3660
ISBN: 978-1-4799-5751-4
ISSN: 1522-4880
Language: English


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.


FAU Authors / FAU Editors

Heindel, Andreas
Lehrstuhl für Multimediakommunikation und Signalverarbeitung
Kaup, André Prof. Dr.-Ing.
Lehrstuhl für Multimediakommunikation und Signalverarbeitung
Wige, Eugen
Lehrstuhl für Multimediakommunikation und Signalverarbeitung


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.

BibTeX: 

Last updated on 2019-24-04 at 15:10