A low-complexity and efficient encoder rate control solution for distributed residual video coding

Hu, Chunyun; Hu, Bin‐Jie; Tu, Wanqing; Yu, Xiong

doi:10.1007/s11042-017-4484-5

Cited by 3 publications

(9 citation statements)

References 25 publications

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“…2) Comparation with our previous work [19]. In order to improve the coding efficiency, we presented an efficient encoder rate control solution combined with an encoder block mode decision for DRVC in [19].…”

Section: Analysis Of the Iterative Quantizationmentioning

confidence: 89%

“…In [5], DRVC has been proved that it has the same performance as the TDDVC due to the exploitation of temporal correlation, and it also has less complex than TDDVC because of no DCT transformation. In our previous work [18,19], we proposed an efficient Encoder Rate Control (ERC) solution and a novel EBMD for DRVC. The proposed EBMD only depends on the values of residual pixels without measurement of block difference, compression rate or distortion function used in the existing EBMD.…”

Section: Related Work About Drvcmentioning

confidence: 99%

“…Therefore, it can be concluded that reducing l can help with quantization from coarse to fine but will reduce the efficiency of the proposed scheme at the same time. previous work [19]. Only luminance component is considered in the calculation of the RD performance.…”

Section: Analysis Of the Iterative Quantizationmentioning

confidence: 99%

“…The simulation results of DISCOVER are obtained from [16]. Our previous work [19] proposed a relatively simple encoder,which outperforms other DRVC systems in terms of encoder complexity [19].…”

Section: Analysis Of the Iterative Quantizationmentioning

confidence: 99%

“…In order to improve the coding efficiency, we presented an efficient encoder rate control solution combined with an encoder block mode decision for DRVC in [19]. The results in [19] show our previous work outperforms DISCOVER and the state-of-the-art rate control solution in terms of RD performance for video sequences with low motion. It also has competitive RD performance for other types of video sequences.…”

Section: Analysis Of the Iterative Quantizationmentioning

confidence: 99%

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A simple encoder scheme for distributed residual video coding

Zhao

Liu

et al. 2020

Multimed Tools Appl

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Rate-Distortion (RD) performance of Distributed Video Coding (DVC) is considerably less than that of conventional predictive video coding. In order to reduce the performance gap, many methods and techniques have been proposed to improve the coding efficiency of DVC with increased system complexity, especially techniques employed at the encoder such as encoder mode decisions, optimal quantization, hash methods etc., no doubt increase the complexity of the encoder. However, low complexity encoder is a widely desired feature of DVC. In order to improve the coding efficiency while maintaining low complexity encoder, this paper focuses on Distributed Residual Video Coding (DRVC) architecture and proposes a simple encoder scheme. The main contributions of this paper are as follows: 1) propose a bit plane block based method combined with bit plane re-arrangement to improve the dependency between source and Side Information (SI), and meanwhile, to reduce the amount of data to be channel encoded 2) present a simple iterative dead-zone quantizer with 3 levels in order to adjust quantization from coarse to fine. The simulation results show that the proposed scheme outperforms DISCOVER scheme for low to medium motion video sequences in terms of RD performance, and maintains a low complexity encoder at the same time. Keywords Distributed residual video coding (DRVC) Bit plane block based Low complexity encoder 1 IntroductionDistributed Video Coding (DVC), based on Slepian-Wolf theorems, is an emerging video coding paradigm and it shifts the computational complexity and storage burdens from encoder to decoder. It encodes video frames independently and decodes them jointly, which is a promising scheme for applications with limited resources [25], such as sensor networks, wireless video surveillance, etc. However, RD performance of DVC is still considerably less than that of conventional motion-compensation based video � Yunhui Xiong

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Section: Analysis Of the Iterative Quantizationmentioning

confidence: 89%

Section: Related Work About Drvcmentioning

confidence: 99%

Section: Analysis Of the Iterative Quantizationmentioning

confidence: 99%

Section: Analysis Of the Iterative Quantizationmentioning

confidence: 99%

Section: Analysis Of the Iterative Quantizationmentioning

confidence: 99%

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A simple encoder scheme for distributed residual video coding

Zhao

Liu

et al. 2020

Multimed Tools Appl

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Side Information Extraction using Bernoulli Distribution based Deep Learning Technique for Video Transmission

Ajitha,

SanthiPrabha

2023

J. Electr. Eng. Technol.

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Low Computational Coding-Efficient Distributed Video Coding: Adding a Decision Mode to Limit Channel Coding Load

Khursheed

Badruddin

Jeoti

et al. 2023

Entropy

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Distributed video coding (DVC) is based on distributed source coding (DSC) concepts in which video statistics are used partially or completely at the decoder rather than the encoder. The rate-distortion (RD) performance of distributed video codecs substantially lags the conventional predictive video coding. Several techniques and methods are employed in DVC to overcome this performance gap and achieve high coding efficiency while maintaining low encoder computational complexity. However, it is still challenging to achieve coding efficiency and limit the computational complexity of the encoding and decoding process. The deployment of distributed residual video coding (DRVC) improves coding efficiency, but significant enhancements are still required to reduce these gaps. This paper proposes the QUAntized Transform ResIdual Decision (QUATRID) scheme that improves the coding efficiency by deploying the Quantized Transform Decision Mode (QUAM) at the encoder. The proposed QUATRID scheme’s main contribution is a design and integration of a novel QUAM method into DRVC that effectively skips the zero quantized transform (QT) blocks, thus limiting the number of input bit planes to be channel encoded and consequently reducing both the channel encoding and decoding computational complexity. Moreover, an online correlation noise model (CNM) is specifically designed for the QUATRID scheme and implemented at its decoder. This online CNM improves the channel decoding process and contributes to the bit rate reduction. Finally, a methodology for the reconstruction of the residual frame (R^) is developed that utilizes the decision mode information passed by the encoder, decoded quantized bin, and transformed estimated residual frame. The Bjøntegaard delta analysis of experimental results shows that the QUATRID achieves better performance over the DISCOVER by attaining the PSNR between 0.06 dB and 0.32 dB and coding efficiency, which varies from 5.4 to 10.48 percent. In addition to this, results determine that for all types of motion videos, the proposed QUATRID scheme outperforms the DISCOVER in terms of reducing the number of input bit-planes to be channel encoded and the entire encoder’s computational complexity. The number of bit plane reduction exceeds 97%, while the entire Wyner-Ziv encoder and channel coding computational complexity reduce more than nine-fold and 34-fold, respectively.

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A low-complexity and efficient encoder rate control solution for distributed residual video coding

Cited by 3 publications

References 25 publications

A simple encoder scheme for distributed residual video coding

A simple encoder scheme for distributed residual video coding

Side Information Extraction using Bernoulli Distribution based Deep Learning Technique for Video Transmission

Low Computational Coding-Efficient Distributed Video Coding: Adding a Decision Mode to Limit Channel Coding Load

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