Extrinsic Information Modification in the Turbo Decoder by Exploiting Source Redundancies for HEVC Video Transmitted Over a Mobile Channel

Perera, Ryan; Arachchi, Hemantha Kodikara; Imran, Muhammad Ali; Xiao, Pei

doi:10.1109/access.2016.2619259

Cited by 2 publications

(5 citation statements)

References 22 publications

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“…The JSCD scheme in [41] (referred as "R. Perera et al JSCD") is selected for comparison, which is compared with the "Pro_RGT" approach in this article for fairness. In the experiments of "R. Perera et al JSCD", a total of 60 data-frames (transport blocks) from Foreman video sequence are considered.…”

Section: Comparison With Other Jscd Methodologiesmentioning

confidence: 99%

“…In terms of the quality of visual experience, "R. Perera et al JSCD" has given the SSIM results for channel SNR from 11.375 dB to 11.6 dB in [41]. The best case turned out to be the Beergarden video sequence with higher resolution.…”

Section: Comparison With Other Jscd Methodologiesmentioning

confidence: 99%

Section: Video Streaming Dedicated Jscd Schemesmentioning

confidence: 99%

“…HEVC related JSCD schemes can be found in [25,41]. Perera et al [41] designed a cross-layer turbo decoder to make use of HEVC source redundancy in the form of exploiting slice header semantics and field patterns. Specifically, a Slice-header-field Parsing and Correction (SPC) module for checking the HEVC syntax was required.…”

Section: Video Streaming Dedicated Jscd Schemesmentioning

confidence: 99%

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Joint Source-Channel Decoding of Polar Codes for HEVC-Based Video Streaming

Lin

Zhang

et al. 2022

ACM Trans. Multimedia Comput. Commun. Appl.

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Ultra High-Definition (UHD) and Virtual Reality (VR) video streaming over 5G networks are emerging, in which High-Efficiency Video Coding (HEVC) is used as source coding to compress videos more efficiently and polar code is used as channel coding to transmit bitstream reliably over an error-prone channel. In this article, a novel Joint Source-Channel Decoding (JSCD) of polar codes for HEVC-based video streaming is presented to improve the streaming reliability and visual quality. Firstly, a Kernel Density Estimation (KDE) fitting approach is proposed to estimate the positions of error channel decoded bits. Secondly, a modified polar decoder called R-SCFlip is designed to improve the channel decoding accuracy. Finally, to combine the KDE estimator and the R-SCFlip decoder together, the JSCD scheme is implemented in an iterative process. Extensive experimental results reveal that, compared to the conventional methods without JSCD, the error data-frame correction ratios are increased. Averagely, 1.07% and 1.11% Frame Error Ratio (FER) improvements have been achieved for Additive White Gaussian Noise (AWGN) and Rayleigh fading channels, respectively. Meanwhile, the qualities of the recovered videos are significantly improved. For the 2D videos, the average Peak Signal-to-Noise Ratio (PSNR) and Structural SIMilarity (SSIM) gains reach 14% and 34%, respectively. For the 360֯ videos, the average improvements in terms of Weighted-to-Spherically-uniform PSNR (WS-PSNR) and Voronoi-based Video Multimethod Assessment Fusion (VI-VMAF) reach 21% and 7%, respectively.

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Section: Comparison With Other Jscd Methodologiesmentioning

confidence: 99%

Section: Comparison With Other Jscd Methodologiesmentioning

confidence: 99%

Section: Video Streaming Dedicated Jscd Schemesmentioning

confidence: 99%

Section: Video Streaming Dedicated Jscd Schemesmentioning

confidence: 99%

See 2 more Smart Citations

Joint Source-Channel Decoding of Polar Codes for HEVC-Based Video Streaming

Lin

Zhang

et al. 2022

ACM Trans. Multimedia Comput. Commun. Appl.

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“…The associate editor coordinating the review of this manuscript and approving it for publication was Zhaoqing Pan. rising dramatically along with bandwidth growing up [1]- [3]. Nowadays, ultra-high definition TV (UHDTV) supports 8K × 4K resolution, and 4K (3840 × 2160) smartphones have recently become available on the market.…”

Section: Introductionmentioning

confidence: 99%

Acceleration for HEVC Encoder by Bimodal Segmentation of Rate-Distortion Cost and Accurate Determination of Early Termination and Early Split

et al. 2019

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The processing unit with a quad-tree structure in high efficiency video coding (HEVC/H.265) consists of a coding unit (CU), a prediction unit (PU), and a transform unit (TU). The CU and PU account for the majority of the computational complexity. This paper proposes a fast inter-prediction algorithm to overcome the high-computational demand associated with the coding complexity for an HEVC/H.265 encoder. In this paper, the CU depth prediction is proposed to reduce the number of CU executions by incorporating the depths and rate-distortion costs (RD-costs) of the adjacent CUs. Bimodal RD-cost segmentation is proposed for the elementary dichotomy of RD-cost distribution. The proposed algorithm applies the one-sided Chebyshev's inequality for the determination of accurate RD-cost thresholds by adjusting the error rates for early termination and early split. Our approach achieves 50.1% and 48.7% time savings with Bjøntegaard delta bit rate (BDBR) increases of 1.2% and 1.0% compared to the HEVC/H.265 reference software for random access and low delay configurations, respectively. The proposed method has better performance than earlier researches in terms of both coding speed and rate-distortion.

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Extrinsic Information Modification in the Turbo Decoder by Exploiting Source Redundancies for HEVC Video Transmitted Over a Mobile Channel

Cited by 2 publications

References 22 publications

Joint Source-Channel Decoding of Polar Codes for HEVC-Based Video Streaming

Joint Source-Channel Decoding of Polar Codes for HEVC-Based Video Streaming

Acceleration for HEVC Encoder by Bimodal Segmentation of Rate-Distortion Cost and Accurate Determination of Early Termination and Early Split

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