An adaptive spatio-temporal perception aware quantization algorithm for AVS2

Yan, Yunyao; Xiang, Guoqing; Li, Yuan; Xie, Xiaodong; Jia, Huizhu

doi:10.1016/j.jvcir.2020.102917

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“…HoangVan [18] studied the statistical relationship of the quantization parameter (QP) and rate-distortion performance and designed a fourth-order polynomial function to adaptively estimate frame-level QP. Yan et al [19] utilized spatial and temporal characteristics to establish a spatiotemporal perception-aware model to adjust the CTUlevel QP offset. In [10], [20]- [22], the information loss and compression artifacts introduced by quantization can be effectively reduced by accurately modeling the distribution of DCT coefficients.…”

Section: A Adaptive Quantizationmentioning

confidence: 99%

Context-Adaptive Inverse Quantization for Inter-Frame Coding

Liu

et al. 2021

IEEE Open J. Circuits Syst.

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Section: A Adaptive Quantizationmentioning

confidence: 99%

Context-Adaptive Inverse Quantization for Inter-Frame Coding

Liu

et al. 2021

IEEE Open J. Circuits Syst.

View full text Add to dashboard Cite

Two-Stage Perceptual Quality Oriented Rate Control Algorithm for HEVC

Yan,

Xiang,

Jia

et al. 2024

ACM Trans. Multimedia Comput. Commun. Appl.

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As a practical technique in mainstream video coding applications, rate control dominates important to ensure compression quality with limited bitrates constraints. However, most rate control methods mainly focus on objective quality while ignoring the perceptual quality improvement for human eyes. In this paper, we propose a two-stage rate control algorithm to optimize the perceptual quality at the frame encoding stage and the coding tree unit (CTU) encoding stage for high efficiency video coding (HEVC), respectively. Firstly, for the frame encoding stage, with inter-frame distortion dependency consideration, a frame-level rate control method is presented by adjusting the frame-level Lagrange multiplier adaptively with a preprocessing method. Secondly, for the CTU encoding stage, we propose a saliency-based CTU-level perceptual quality rate control algorithm, which employs CTU-level saliency weight to adjust the perceptual rate-distortion (R-D) model. We conduct the CTU-level rate control by an optimized Lagrange multiplier and quantization parameter (QP) to achieve perceptual quality optimization. Extensive experimental results reveal that, compared with state-of-the-art rate control methods on HEVC, our algorithm achieves significant perceptual coding performance with improved subjective visual quality.

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An adaptive spatio-temporal perception aware quantization algorithm for AVS2

Cited by 2 publications

References 18 publications

Context-Adaptive Inverse Quantization for Inter-Frame Coding

Context-Adaptive Inverse Quantization for Inter-Frame Coding

Two-Stage Perceptual Quality Oriented Rate Control Algorithm for HEVC

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