Analyzing Symbol and Bit Plane-Based LDPC in Distributed Video Coding

Westerlaken, R.P.; Borchert, S.; Gunnewiek, R.K.; Lagendijk, Reginald L.

doi:10.1109/icip.2007.4379081

Cited by 19 publications

(7 citation statements)

References 9 publications

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“…In the proposed framework, less accurate reference at the input of the LDPC decoder would increase the number of syndrome bits required in decoding. The choice of correlation models depends on the specific Slepian-Wolf coding algorithms and applications [10,20,21].…”

Section: Correlation Estimation Model For Ldpc-based Td-wzvcmentioning

confidence: 99%

Feedback-free rate-allocation scheme for transform domain Wyner–Ziv video coding

et al. 2010

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In most existing Wyner-Ziv video coding schemes, a feedback channel (FC) is expected at the decoder in order to allocate a proper bit rate for each Wyner-Ziv frame. However, FC not only results in additional latency but also increases decoding complexity due to the several feedback-decoding iterations. Moreover, FC may be unavailable in many practical video applications. In this paper, we propose a novel feedback-free rate-allocation scheme for transform domain Wyner-Ziv video coding (TD-WZVC), which predicts the rate for each Wyner-Ziv frame at the encoder without significantly increasing the complexity of the encoder. First, a correlation estimation model is presented to characterize the relationship between the source frame and the reference frame estimated at the encoder in TD-WZVC. Then, an efficient FC-free rateallocation algorithm is proposed and a linear model is built to avoid both overestimation and underestimation of the real rate and obtain an optimal rate-distortion performance. Experimental results show that the proposed scheme is able to achieve a good encoder rate allocation while still maintaining consistent coding efficiency.

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Section: Correlation Estimation Model For Ldpc-based Td-wzvcmentioning

confidence: 99%

Feedback-free rate-allocation scheme for transform domain Wyner–Ziv video coding

et al. 2010

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“…Even tough, this parameter can be obtained using a feedback channel or pilot signal under different channel states, taking advantage of channel state information can lead to communication overhead especially in a fast time-varying channel [2]. LDPC coding is also exploited in some other applications such as distributed video coding (DVC) [3]. In a DVC problem, a virtual channel is defined between the current frame in the encoder and an estimation of this frame (side information) in the decoder.…”

Section: Introductionmentioning

confidence: 99%

Joint noise distribution parameter estimation and LDPC decoding using variational Bayes

Taheri

Ahmad

Swamy

2014

2014 IEEE 57th International Midwest Symposium on Circuits and Systems (MWSCAS)

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In this work, we investigate the problem of estimat ing time-varying noise distribution parameter on a factor graph. A new message passing scheme is proposed by incorporating the variational Bayes (VB) into the belief propagation algorithm for estimating of time-varying noise distribution parameter in a low-density parity-check decoder. The scheme can also be used for the estimation of the correlation noise model parameter in distributed video coding. A Bayesian estimator is used to estimate this parameter by obtaining its posterior distribution given the channel output. The VB algorithm is employed to approximate the complex form of the posterior distribution with a simple distribution. Finally, this distribution is used to derive a c1osed form expression for the messages on the augmented factor graph for online parameter estimation and decoding process at the same time.

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“…Early DVC architectures considered syndrome decoding techniques for channel coding [4]. Yet, these soon evolved to include more sophisticated codes, like Turbo-codes [5] or Low-Density Parity-Check (LDPC) codes [6], which use the statistics of the underlying channel to improve performance [7]. Using dynamic noise modelling [8], the previously decoded bit-planes [9]- [10], or reversing the order of the bitplanes [11] can all improve the accuracy of channel statistics and help to approach the SW rates with either code.…”

Section: Introductionmentioning

confidence: 99%

Modified distribution of correlation noise for improved Wyner-Ziv video coding performance

Micallef

Farrugia

Debono

2013

2013 IEEE 15th International Workshop on Multimedia Signal Processing (MMSP)

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This research work was partially funded by the Strategic Educational Pathways Scholarship Scheme (STEPS-Malta) and by European Union - European Social Fund (ESF 1.25).Despite theorems predicting that Distributed Video Coding can achieve the same performance as traditional predictive video coding schemes, the coding efficiency of practical architectures is still far from these bounds. This is attributed to the poor Side Information (SI) estimated at the decoder and to the inability of the channel codes to recover the source at the Slepian-Wolf (SW) limits. This paper tackles the latter issue by recovering the SI bit-planes starting from the most unreliable bit of each coefficient. Most of the mismatch in SI is thus accumulated within the first decoded bit-planes, leaving the last bit-planes with very few or no mismatch. Low-Density Parity-Check Accumulate (LDPCA) codes can then benefit from such compact distribution of correlation noise since they offer a smaller percentage error, from the SW bounds, when mismatch is accumulated in few higher entropy bit-planes. Furthermore, with this setup, most of the last bit-planes can be recovered very effectively using just 8-bit or 16-bit Cyclic Redundancy Codes. Experimental results show that the proposed scheme can reduce the Wyner-Ziv bit-rates by up to 21% compared to the DISCOVER codec.peer-reviewe

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Analyzing Symbol and Bit Plane-Based LDPC in Distributed Video Coding

Cited by 19 publications

References 9 publications

Feedback-free rate-allocation scheme for transform domain Wyner–Ziv video coding

Feedback-free rate-allocation scheme for transform domain Wyner–Ziv video coding

Joint noise distribution parameter estimation and LDPC decoding using variational Bayes

Modified distribution of correlation noise for improved Wyner-Ziv video coding performance

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