Multiple description coding with randomly offset quantizers

Conference contribution
(Conference Contribution)


Publication Details

Author(s): Meng L, Liang J, Samarawickrama U, Zhao Y, Bai H, Kaup A
Publication year: 2013
Pages range: 261-264
ISBN: 9781467357609
ISSN: 0271-4302
Language: English


Abstract


A multiple description coding scheme based on prediction-induced randomly offset quantizers is proposed, where each description encodes one source subset with a small quantization stepsize, and other subsets are predictively coded with a large quantization stepsize. Due to the prediction, the quantization bins that a coefficient belongs to in different descriptions are randomly overlapped with each others. The optimal reconstruction is obtained by finding the intersection of all received quantization bins. Using the recently developed random quantization theory, the closed-form expression of the expected distortion is obtained. The proposed scheme is then applied to lapped transform-based multiple-description image coding, and an iterative optimization scheme is developed to find the optimal lapped transform. Experimental results show that the proposed scheme achieves better performance than other methods in this category. © 2013 IEEE.


FAU Authors / FAU Editors

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


How to cite

APA:
Meng, L., Liang, J., Samarawickrama, U., Zhao, Y., Bai, H., & Kaup, A. (2013). Multiple description coding with randomly offset quantizers. In Proceedings of the 2013 IEEE International Symposium on Circuits and Systems, ISCAS 2013 (pp. 261-264). Beijing, CN.

MLA:
Meng, L., et al. "Multiple description coding with randomly offset quantizers." Proceedings of the 2013 IEEE International Symposium on Circuits and Systems, ISCAS 2013, Beijing 2013. 261-264.

BibTeX: 

Last updated on 2019-25-04 at 17:38