Adaptive quantization parameter cascading for hierarchical video coding

Conference contribution
(Conference Contribution)


Publication Details

Author(s): Li X, Amon P, Hutter A, Kaup A
Publication year: 2010
Pages range: 4197-4200
ISBN: 9781424453085
ISSN: 0271-4302
Language: English


Abstract


Quantization parameter (QP) cascaded hierarchical prediction structures have been proved as efficient techniques in hybrid video coding. However, the current QP cascading method is empirical and not adaptive. The reason for the higher coding efficiency of this method has not been fully explored so far. In this paper, the rate-distortion performance of QP cascaded hierarchical video coding is first analyzed with dependent rate-distortion function. Then the optimal offset in linear QP cascading scheme is derived theoretically. It is shown that the widely accepted empirical QP cascading method is actually an approximation to the theoretical solution in fast movement environment. For slow sequences, an average gain of 0.43 dB can be achieved by the combination of two proposed adaptive algorithms. ©2010 IEEE.


FAU Authors / FAU Editors

Kaup, André Prof. Dr.-Ing.
Lehrstuhl für Multimediakommunikation und Signalverarbeitung


External institutions
Siemens AG


How to cite

APA:
Li, X., Amon, P., Hutter, A., & Kaup, A. (2010). Adaptive quantization parameter cascading for hierarchical video coding. In Proceedings of the 2010 IEEE International Symposium on Circuits and Systems: Nano-Bio Circuit Fabrics and Systems, ISCAS 2010 (pp. 4197-4200). Paris, FR.

MLA:
Li, Xiang, et al. "Adaptive quantization parameter cascading for hierarchical video coding." Proceedings of the 2010 IEEE International Symposium on Circuits and Systems: Nano-Bio Circuit Fabrics and Systems, ISCAS 2010, Paris 2010. 4197-4200.

BibTeX: 

Last updated on 2019-29-04 at 16:08