Quantizer design with mismatched side information at the decoder

Shamaei, Sepideh; Valipour, Mehrdad

doi:10.1109/icassp.2011.5946696

Cited by 2 publications

(6 citation statements)

References 7 publications

(7 reference statements)

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“…Combining (17) with (16), and using the condition in (2), the result is equivalently expressed by (5a). To compute ∂L ∂δ l , for l = 1, 2, .…”

Section: Appendix a Derivations Of The Mmnsq-r Schemementioning

confidence: 99%

“…As a result, the best to be done is to minimize the maximum distortion, because the average distortion may not be calculated. The same problem is also examined in [16], which is investigated here for completeness and as a benchmark for comparisons. To solve this problem, we define D mm (σ d , σ a ) as the distortion of a quantization scheme designed for σ d , but actually encountering a mismatched σ a .…”

Section: Known Range Of σmentioning

confidence: 99%

“…By incorporating a feedback channel, we present a new framework for WZ quantization based on a multi-mode NSQ (MMNSQ) setup with a rate-limited feedback (outlined in Figure 1). In line with [13], [16], we assume that the joint pdf is controlled by a single state parameter, which is constant over a block (frame) 0090 but varies according to a distribution (known to encoder and decoder) in different frames. Each encoder mode corresponds to a disjoint interval in the range of the state parameter.…”

Section: Introductionmentioning

confidence: 99%

“…As a solution, a two-layer coding scheme using transform coding and ideal SW codes is suggested. A quantizer with a single encoder and a multi-mode decoder is suggested in [16] to exploit uncertain SI at the decoder. In this setting a multimode decoder improves the performance, but not significantly.…”

Section: Introductionmentioning

confidence: 99%

“…However, this assumption is hardly valid in practice and we deal with a so-called uncertain SI as the exact pdf is not available at the encoder [2], [13][14][15][16]. In [2] and the subsequent works on DVC using turbo-based SW codes, the encoder compression rate may be repeatedly adjusted by a NACK message fed back from the decoder upon a possible decoding failure.…”

Section: Introductionmentioning

confidence: 99%

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Multi-Mode Nested Quantization in Presence of Uncertain Side Information and Feedback

Parseh

Lahouti

2013

IEEE Trans. Commun.

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In this paper, the problem of uniform quantization for the Wyner-Ziv (WZ) problem in presence of uncertain side information at the encoder is addressed. The uncertain side information problem arises in data compression with side information (SI) when the joint probability distribution of source and SI is not (fully) known at the encoder. The uncertainty is due to the time varying nature of the dependency of source and SI in settings such as wireless sensor networks and distributed video coding. In this paper, a solution is proposed which consists of a multi-mode WZ encoder in conjunction with a carefully designed feedback scheme from the decoder. Each encoder mode is associated with a uniform nested quantizer. In this framework, the quantization parameters, the feedback scheme, and the source coding rate are jointly optimized to minimize the average rate or distortion. Two distinct schemes with adaptive or fixed transmission rate are proposed. Simulation results are provided which demonstrate the effectiveness of the presented solutions and assess the effect of different design parameters including the number of modes (feedback rate) on the performance.Index Terms-Uniform Wyner-Ziv quantizer, uncertain side information, multi-mode source coding, rate-limited feedback.

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“…Combining (17) with (16), and using the condition in (2), the result is equivalently expressed by (5a). To compute ∂L ∂δ l , for l = 1, 2, .…”

Section: Appendix a Derivations Of The Mmnsq-r Schemementioning

confidence: 99%

Section: Known Range Of σmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Multi-Mode Nested Quantization in Presence of Uncertain Side Information and Feedback

Parseh

Lahouti

2013

IEEE Trans. Commun.

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Rate-Distortion Bounds for Wyner–Ziv Coding With Gaussian Scale Mixture Correlation Noise

Bassi

Fraysse

Dupraz

et al. 2014

IEEE Trans. Inform. Theory

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The objective of this paper is the characterization of the Wyner-Ziv rate-distortion function for memoryless continuous sources, when the correlation between the sources is modeled via an additive noise channel. Modeling the distribution of the correlation noise via a Gaussian mixture, with discrete or continuous mixing variable, provides a unified signal model able to describe a wide class of distributions, useful in the context of practical applications. The Wyner-Ziv rate-distortion function associated with this signal model cannot, in general, be obtained in analytical form. This paper contributes a method for its analysis, by providing computable upper and lower bounds.Index Terms-Gaussian scale mixture noise, rate-distortion bounds, Wyner-Ziv.

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Quantizer design with mismatched side information at the decoder

Cited by 2 publications

References 7 publications

Multi-Mode Nested Quantization in Presence of Uncertain Side Information and Feedback

Multi-Mode Nested Quantization in Presence of Uncertain Side Information and Feedback

Rate-Distortion Bounds for Wyner–Ziv Coding With Gaussian Scale Mixture Correlation Noise

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