A Multi-Hypothesis Non-Binary LDPC Code based Distributed Video Coding System

Louw, Daniël J.; Kaneko, Haruhiko

doi:10.2316/p.2012.759-074

Cited by 1 publication

(7 citation statements)

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“…The hth hypothesis will be denoted byf h . For this system we use four hypotheses as described in [8]. Each hypothesis is transformed to produceF h and each subband is vectorised to yield y hb :…”

Section: Decodermentioning

confidence: 99%

“…From the error estimates, noise parameters are calculated at a coefficient level using the method developed in [23]. In order to improve the relative quality of the noise estimation for the different hypotheses, a motion-adaptive scaling factor is used to scale the Laplace noise parameters of the key frame and motion-based hypotheses as described in [8].…”

Section: Decodermentioning

confidence: 99%

“…A multi-hypothesis SI creation method using four hypotheses as developed in [8] is used. The hypotheses are the two reference frames,f [0] andf [N G ], a MCI-based frame using small blocks,f S , as well as a MCI-based frame using big blocks,f B .…”

Section: Side Information Creation 621 Initial Decodingmentioning

confidence: 99%

“…The correlation noise for each hypothesis is estimated using the method in [23], and motion-adaptive scaling factors are applied as in [8]. All the hypotheses are then combined at a coefficient level using Bayesian fusion:…”

Section: Residual Estimation For the First Decodingmentioning

confidence: 99%

“…Notable milestones include the DISCOVER [1] and VISNET [7] codecs, both of which are based on the architecture of the Stanford system. The authors have also presented a codec based on the Stanford architecture [8,9], of which the SI creation method is used in this paper.…”

Section: Overview Of the Previous Workmentioning

confidence: 99%

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Suppressing feedback in a distributed video coding system by employing real field codes

Louw

Kaneko

2013

EURASIP J. Adv. Signal Process.

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Single-view distributed video coding (DVC) is a video compression method that allows for the computational complexity of the system to be shifted from the encoder to the decoder. The reduced encoding complexity makes DVC attractive for use in systems where processing power or energy use at the encoder is constrained, for example, in wireless devices and surveillance systems. One of the biggest challenges in implementing DVC systems is that the required rate must be known at the encoder. The conventional approach is to use a feedback channel from the decoder to control the rate. Feedback channels introduce their own difficulties such as increased latency and buffering requirements, which makes the resultant system unsuitable for some applications. Alternative approaches, which do not employ feedback, suffer from either increased encoder complexity due to performing motion estimation at the encoder, or an inaccurate rate estimate. Inaccurate rate estimates can result in a reduced average rate-distortion performance, as well as unpleasant visual artifacts. In this paper, the authors propose a single-view DVC system that does not require a feedback channel. The consequences of inaccuracies in the rate estimate are addressed by using codes defined over the real field and a decoder employing successive refinement. The result is a codec with performance that is comparable to that of a feedback-based system at low rates without the use of motion estimation at the encoder or a feedback path. The disadvantage of the approach is a reduction in average rate-distortion performance in the high-rate regime for sequences with significant motion.

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Section: Decodermentioning

confidence: 99%

Section: Decodermentioning

confidence: 99%

Section: Side Information Creation 621 Initial Decodingmentioning

confidence: 99%

Section: Residual Estimation For the First Decodingmentioning

confidence: 99%

Section: Overview Of the Previous Workmentioning

confidence: 99%

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