Parallel Rate Distortion Optimized Quantization for 4K Real-time GPU-based HEVC Encoder

Igarashi, Hiroaki; Takano, Fumiyo; Takenaka, Takashi; Inoue, Hiroaki; Moriyoshi, Tatsuji

doi:10.1109/vcip.2018.8698687

Cited by 3 publications

(1 citation statement)

References 7 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In [41], the philosophy of comparing the rate-distortion cost based on ∆J is employed again, wherein the coding bits regarding the residual coding syntax elements are inferred from statistical probability and information entropy. Besides, based on the rate estimation in [41], a parallel RDOQ scheme for HEVC open-source encoder x265 [44] is proposed [45], with which the RDO procedures can be parallelly executed on GPU, leading to the real-time encoding for 4K sequences. Moreover, Yin et al [25] proposed a soft-decision quantization scheme which reveals great benefits in enhancing the throughput of the hardware.…”

Section: B Rate Distortion Models For Fast Rdoqmentioning

confidence: 99%

Low Complexity Quantization in High Efficiency Video Coding

et al. 2020

View full text Add to dashboard Cite

The rate-distortion optimized quantization (RDOQ) provides an excellent trade-off between rate and distortion in High Efficiency Video Coding (HEVC), leading to inspiring improvement in terms of rate-distortion performance. However, its heavy use imposes high complexity on the encoder in realworld video compression applications. In this paper, we provide a comprehensive review on low complexity quantization techniques in HEVC, including both fast RDOQ and all-zero block detection. In particular, the fast RDOQ relies on rate and distortion models for rate-distortion cost estimation, such that the most appropriate quantized coefficient is selected in a low complexity way. All-zero block detection infers the all-zero block by skipping transform and quantization, in an effort to further reduce the complexity. The relationship between the two techniques is also discussed, and moreover, we also envision the future design of low complexity quantization in the upcoming Versatile Video Coding (VVC) standard. INDEX TERMS High efficiency video coding, low complexity video coding, rate-distortion optimized quantization.

show abstract

Section: B Rate Distortion Models For Fast Rdoqmentioning

confidence: 99%

Low Complexity Quantization in High Efficiency Video Coding

et al. 2020

View full text Add to dashboard Cite

show abstract

Parallelized RDOQ Algorithm and Fully Pipelined Hardware Architecture for AVS3 Video Coding

Huang,

Tang,

Pan

et al. 2024

IEEE Trans. Circuits Syst. Video Technol.

View full text Add to dashboard Cite

A VVC Dependent Quantization Optimization Based on the Parallel Viterbi Algorithm and Its FPGA Implementation

SHENG,

CHENG,

HUANG

et al. 2024

IEICE Trans. Inf. & Syst.

View full text Add to dashboard Cite

Dependent Quantization (DQ) is a new quantization tool introduced in the Versatile Video Coding (VVC) standard. While it provides better rate-distortion calculation accuracy, it also increases the computational complexity and hardware cost compared to the widely used scalar quantization. To address this issue, this paper proposes a parallel-dependent quantization hardware architecture using Verilog HDL language. The architecture preprocesses the coefficients with a scalar quantizer and a highfrequency filter, and then further segments and processes the coefficients in parallel using the Viterbi algorithm. Additionally, the weight bit width of the rate-distortion calculation is reduced to decrease the quantization cycle and computational complexity. Finally, the final quantization of the TU is determined through sequential scanning and judging of the rate-distortion cost. Experimental results show that the proposed algorithm reduces the quantization cycle by an average of 56.96% compared to VVC's reference platform VTM, with a Bjøntegaard delta bit rate (BDBR) loss of 1.03% and 1.05% under the Low-delay P and Random Access configurations, respectively. Verification on the AMD FPGA development platform demonstrates that the hardware implementation meets the quantization requirements for 1080P@60Hz video hardware encoding.

show abstract

Parallel Rate Distortion Optimized Quantization for 4K Real-time GPU-based HEVC Encoder

Cited by 3 publications

References 7 publications

Low Complexity Quantization in High Efficiency Video Coding

Low Complexity Quantization in High Efficiency Video Coding

Parallelized RDOQ Algorithm and Fully Pipelined Hardware Architecture for AVS3 Video Coding

A VVC Dependent Quantization Optimization Based on the Parallel Viterbi Algorithm and Its FPGA Implementation

Contact Info

Product

Resources

About