Exploiting quantization and spatial correlation in virtual-noise modeling for distributed video coding

Škorupa, Jozef; Slowack, Jürgen; Mys, Stefaan; Deligiannis, Nikos; Cock, Jan De; Lambert, Peter; Munteanu, Adrian; Walle, Rik Van de

doi:10.1016/j.image.2010.05.005

Cited by 14 publications

(17 citation statements)

References 25 publications

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“…The techniques proposed in this paper have been implemented in our codec described in [7] with the extension explained in [10]. This codec is similar to DISCOVER but it implements improved methods for correlation noise modeling.…”

Section: Resultsmentioning

confidence: 99%

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Intra-WZ quantization mismatch in distributed video coding

Slowack

Škorupa

Lambert

et al. 2011

2011 18th IEEE International Conference on Image Processing

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During the past decade, Distributed Video Coding (DVC) has emerged as a new video coding paradigm, shifting the complexity from the encoder-to the decoder-side. This paper addresses a problem of current DVC architectures that has not been studied in the literature so far, that is, the mismatch between the intra and Wyner-Ziv (WZ) quantization processes. Due to this mismatch, WZ rate is spent even for spatial regions that are accurately approximated by the side-information. As a solution, this paper proposes sideinformation generation using selective unidirectional motion compensation from temporally adjacent WZ frames. Experimental results show that the proposed approach yields promising WZ rate gains of up to 7% relative to the conventional method.

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Section: Resultsmentioning

confidence: 99%

“…Other research directions followed in the context of DVC focus on estimating the correlation between the side information (available at the decoder) and the original (available at the encoder) [6,7], and on eliminating the feedback channel [8,9].…”

Section: Introductionmentioning

confidence: 99%

Intra-WZ quantization mismatch in distributed video coding

Slowack

Škorupa

Lambert

et al. 2011

2011 18th IEEE International Conference on Image Processing

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“…As we have pointed out in our previous work [4,5], the residual frame alone is not enough to obtain an accurate correlation estimation for the following reasons. Firstly, the residual frame does not properly reflect changes in quantization settings.…”

Section: Correlation Estimationmentioning

confidence: 99%

“…In Sect. 3.1, we describe correlation estimation as proposed in our previous work [5]. Then we show how this estimation can be improved by a no-reference quality assessment at the decoder (Sect.…”

Section: Correlation Estimatormentioning

confidence: 99%

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Correlation modeling with decoder-side quantization distortion estimation for distributed video coding

Škorupa

Cock

Slowack

et al. 2010

28th Picture Coding Symposium

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Aiming for low-complexity encoding, distributed video coders still fail to achieve the performance of current industrial standards for video coding. One of most important problems in this area is the accurate modeling of the correlation between the predicted signal and the original video. In our previous work we showed that exploiting the quantization distortion can significantly improve the accuracy of a correlation estimator. In this paper we describe how the quantization distortion can be exploited purely at the decoder side without any performance penalty when compared to an encoder-aided system. As a result, the proposed correlation estimator delivers state-of-the-art modeling accuracy while neatly fitting the low-encoder-complexity characteristic of distributed video coding.

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