Low complexity Phase-based Interpolation for side information generation for Wyner-Ziv coding at DVC decoder

Khursheed, Shahzad; Jeoti, Varun; Badruddin, Nasreen; Hashmani, Manzoor Ahmed

doi:10.1109/csndsp49049.2020.9249540

Cited by 1 publication

(9 citation statements)

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“…In most codecs, the highly computational motion-compensated interpolation (MCTI) [10] is performed for the SI generation, and the resultant motion vectors are utilized for the correlation noise parameter estimation. However, in the codec presented in [15], an empirical study of a phase-based fast frame interpolation algorithm was conducted to effectively generate a low computational and fast SI in DVC when motion vectors are not available. For such codecs, there is a need to design an online CNM framework so it leads to the coding efficient codec framework along with low computational SI-generation feature.…”

Section: Related Workmentioning

confidence: 99%

“…Figure 1 depicts the proposed DVC framework for calculating the online correlation noise model CNM for the DVC frameworks [10,15]. In [15], the motion estimation is not exploited at the decoder, and the actual frame is also not available at the decoder. Therefore, online CNM computation is quite a challenging task in such a DVC framework.…”

Section: General Concept Of Proposed Online Correlation Noise Modelmentioning

confidence: 99%

“…The CNM calculation details and mathematical representation are given in Section 3.2. The SI generation process from [15] and conventional interpolation in [10] were used in this study. A brief overview of the phase-based SI generation algorithm from [15] is presented in Algorithm 1.…”

Section: General Concept Of Proposed Online Correlation Noise Modelmentioning

confidence: 99%

“…In our previous research work [15], efforts were made to develop a phase-based frame interpolation algorithm that can effectively generate the SI faster and with lower computational complexity compared to the baseline codec, DIS. In this paper, however, our main objective is to design an online CNM framework that can be used to develop a full DVC codec that has less decoding computational complexity and can compete with DIS in coding efficiency and RD performance.…”

Section: Introductionmentioning

confidence: 99%

“…Implemented the online CNM in the codec developed in a previous work of the authors and presented in [15]. This implementation is called PDIVCOM, which stands for Phase-based Distributed Video Coding with Online Band Mean Correlation Noise Model.…”

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confidence: 99%

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A Novel Online Correlation Noise Model Based on Band Coefficients Mean to Achieve Low Computational and Coding-Efficient Distributed Video Codec

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Distributed video coding (DVC) is a novel coding paradigm that offers low computational encoding relative to conventional video-coding framework at the expense of high-decoding computational complexity. The challenging part of this video-coding framework is achieving better rate-distortion (RD) compared with conventional codec performance. A suitable and accurate correlation noise model (CNM) is crucial in improving the RD performance by achieving high coding efficiency and making decoding less computationally demanding. Since the correlation is nonstationary and time-variant and can vary from frame to frame, offline CNM estimation is not feasible for practical applications and real-time decoding. An online CNM may be the solution to this problem. In DVC, neither Wyner–Ziv frame (WZF) nor estimated side information (SI) of the corresponding WZF is available at the encoder. Therefore, online estimation of the CNM and its parameters can be quite challenging. The contribution of this research work is a novel online CNM which is computed by taking the mean of each transformed coefficient band and deployed for two different codecs. Our proposed codec, DIVCOM, which stands for “Distributed Video Coding with Online Band Mean Correlation Noise Model”, outperforms the existing baseline codec, DISCOVER (DIS), in both coding efficiency and peak signal-to-noise ratio (PSNR). The DIVCOM codec achieves coding efficiency of up to 8.05 kbps, and PSNR ranges from 0.0245 dB to 0.18 dB. An extended version of DIVCOM incorporating phase-based side information called PDIVCOM achieves coding efficiency up to 10.9 kbps, and PSNR ranges from 0.019 to 0.17 dB compared to DIS.

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Section: Related Workmentioning

confidence: 99%

Section: General Concept Of Proposed Online Correlation Noise Modelmentioning

confidence: 99%

Section: General Concept Of Proposed Online Correlation Noise Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

mentioning

confidence: 99%

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A Novel Online Correlation Noise Model Based on Band Coefficients Mean to Achieve Low Computational and Coding-Efficient Distributed Video Codec

et al. 2022

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Low complexity Phase-based Interpolation for side information generation for Wyner-Ziv coding at DVC decoder

Cited by 1 publication

References 28 publications

A Novel Online Correlation Noise Model Based on Band Coefficients Mean to Achieve Low Computational and Coding-Efficient Distributed Video Codec

A Novel Online Correlation Noise Model Based on Band Coefficients Mean to Achieve Low Computational and Coding-Efficient Distributed Video Codec

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