This paper proposes a novel Rate-Distortion (R-D) model for a generic Embedded Multiple Description Scalar Quantizer (EMDSQ). The proposed model is experimentally validated for several quantizer instantiations, showing notable accuracy. Driven by the proposed model, a detailed theoretical analysis of a general EMDSQ-based Multiple Description Coding (MDC) system is carried out. In this context, an optimized packet transmission strategy for a scalable MDC system is theoretically investigated. The analysis reveals important insights into the optimal overall redundancy and average Signal-to-Noise-Ratio (SNR) variations of the system. Our analysis, being independent of the quantizer realization, allows for drawing valuable conclusions on the theoretically achievable performance of EMDSQ-based MDC systems.
Satti, S, Deligiannis, N, Munteanu, A, Schelkens, P & Cornelis, J 2011, A Model-Based Analysis of Scalable Multiple Description Coding. in IEEE International Conference on Digital Signal Processing, DSP 2011. IEEE Signal Processing Society, Corfu, Greece, Unknown, 1/07/11.
Satti, S., Deligiannis, N., Munteanu, A., Schelkens, P., & Cornelis, J. (2011). A Model-Based Analysis of Scalable Multiple Description Coding. In IEEE International Conference on Digital Signal Processing, DSP 2011 IEEE Signal Processing Society.
@inproceedings{3e8ec98288c745b8afab7b1148d8b09f,
title = "A Model-Based Analysis of Scalable Multiple Description Coding",
abstract = "This paper proposes a novel Rate-Distortion (R-D) model for a generic Embedded Multiple Description Scalar Quantizer (EMDSQ). The proposed model is experimentally validated for several quantizer instantiations, showing notable accuracy. Driven by the proposed model, a detailed theoretical analysis of a general EMDSQ-based Multiple Description Coding (MDC) system is carried out. In this context, an optimized packet transmission strategy for a scalable MDC system is theoretically investigated. The analysis reveals important insights into the optimal overall redundancy and average Signal-to-Noise-Ratio (SNR) variations of the system. Our analysis, being independent of the quantizer realization, allows for drawing valuable conclusions on the theoretically achievable performance of EMDSQ-based MDC systems.",
keywords = "Scalable multiple description coding, R-D modeling, scalable source-channel coding",
author = "Shahid Satti and Nikolaos Deligiannis and Adrian Munteanu and Peter Schelkens and Jan Cornelis",
year = "2011",
month = jul,
language = "English",
isbn = "978-1-4577-0272-3",
publisher = "IEEE Signal Processing Society",
booktitle = "IEEE International Conference on Digital Signal Processing, DSP 2011",
note = "Unknown ; Conference date: 01-07-2011",
}