A model-based analysis of scalable Multiple Description Coding

Shahid M. Satti, N. Deligiannis, A. Munteanu, P. Schelkens, J. Cornelis
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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.
基于模型的可扩展多描述编码分析
针对通用嵌入式多描述标量量化器(EMDSQ),提出了一种新的率失真(R-D)模型。该模型在几个量化器实例中得到了实验验证,显示出显著的准确性。在该模型的驱动下,对通用的基于emdsq的多描述编码(MDC)系统进行了详细的理论分析。在此背景下,从理论上研究了可扩展MDC系统的优化分组传输策略。分析揭示了系统的最佳总体冗余和平均信噪比(SNR)变化的重要见解。我们的分析独立于量化器的实现,可以得出关于基于emdsq的MDC系统理论上可实现的性能的有价值的结论。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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