Efficient Rate Control in Versatile Video Coding With Adaptive Spatial–Temporal Bit Allocation and Parameter Updating

He, Liqiang; He, Xiaohai; Xiong, Shengwu; Zhao, Zeming; Xiao, Hongling; Chen, Honggang

doi:10.1109/tcsvt.2022.3224723

Cited by 8 publications

(3 citation statements)

References 46 publications

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“…However, they do not consider the error between the prediction and the actual λ, which may cause error propagation. Therefore, based on the Adaptive Parameter Updating (APU) in [47], we proposed the λ-based squared error to the parameter updating process, simplifying the computational process and ensuring the appropriate speed.…”

Section: B Parameter Updatingmentioning

confidence: 99%

A High-Performance Rate Control Algorithm in Versatile Video Coding Based on Spatial and Temporal Feature Complexity

Zhao

Xiong

et al. 2023

IEEE Trans. on Broadcast.

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This paper presents a high-performance rate control (HPRC) algorithm for the Versatile Video Coding (VVC) standard that aims to achieve higher coding efficiency by considering spatial and temporal feature complexity. The HPRC algorithm differs from conventional rate control (RC) algorithms in that it uses an adaptive Canny operator (ACO) with a novel doublethreshold algorithm to obtain the feature complexity of video content accurately. Moreover, an advanced bit allocation strategy at the frame-level and coding tree unit (CTU)-level is constructed to realize rational RC by thoroughly exploring the relationship between coding bits and complexity. To improve the precision of RC, an appropriate parameter updating based on the quasi-Newton algorithm is also proposed. Experimental results demonstrate that the proposed HPRC algorithm outperforms the default RC algorithm in VVC Test Model (VTM) 18.0, with Bjøntegaard Delta Rate (BD-Rate) savings of 8.77 % and 10.34 % under Low Delay P and Random Access configurations, respectively. Furthermore, the proposed algorithm also shows performance enhancements compared to other advanced algorithms.

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Section: B Parameter Updatingmentioning

confidence: 99%

A High-Performance Rate Control Algorithm in Versatile Video Coding Based on Spatial and Temporal Feature Complexity

Zhao

Xiong

et al. 2023

IEEE Trans. on Broadcast.

Self Cite

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show abstract

“…On the whole, it excels beyond any prior video coding standards in terms of coding performance. Currently, several studies have improved almost all modules in VVC by introducing new coding tools [6][7][8][9][10][11][12], including block partition, intra/inter prediction, transform and rate control, etc., to further optimize the coding performance efficiency. Specifically, in order to accommodate high-resolution videos, VVC implements the larger coding tree unit (CTU) of 128×128 and flexible partition methods like binary tree and triple tree partition [6].…”

Section: Introductionmentioning

confidence: 99%

Neural network-based cross-channel chroma prediction for versatile video coding

Liang,

Zhang

2024

J Supercomput

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Despite linear models being introduced in the latest Versatile Video Coding (VVC) standard to exploit the correlation among luma and chroma channels for removing redundancy, these models cannot take into account the nonlinearity of components, resulting in degraded intra prediction precision. In this paper, a neural network-based method is proposed for cross-channel chroma intra prediction to enhance the coding efficiency. Specifically, the neighboring reference and co-located samples are separately input into the proposed network to exploit spatial and cross-channel correlations fully. Furthermore, in order to acquire a more compact representation of residual signals, a transform-based loss is employed to enhance the effectiveness of the compression. The proposed method is integrated into VVC, competing with the intrinsic chroma prediction regarding rate-distortion optimization to enhance coding performance further. The extensive experimental results demonstrate the superiority of the proposed method over the VVC test model (VTM) 7.0, achieving average bitrate savings of 2.68% and 2.11% for U and V chroma components, respectively.

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“…al. [3] employed the extraction of spatial-temporal texture and motion information to guide CTU-level bit allocation and developed an adaptive parameter update (APU) based on bit error and quasi-Newton algorithm for model updates. Nevertheless, the aforementioned algorithms are designed specifically for natural video content.…”

Section: Introductionmentioning

confidence: 99%

Optimizing rate control model for screen content video in VVC

Liu,

Chen,

Shen

et al. 2023

Third International Conference on Signal Image Processing and Communication (ICSIPC 2023)

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Screen content video (SCV) distinguished from traditional natural video by its unique features, such as rich texture edges and flat areas. However, existing rate control algorithms are better fit for natural video than for SCV. A novel rate control (RC) algorithm for screen content coding (SCC) in Versatile Video Coding (VVC) is proposed in this paper. Specifically, spatial-temporal features at both CTU and frame levels of adjacent original and reconstructed frames are calculated based on 3D-LOG filter to guide bit allocation in CTU level. Considering the visual characteristics of human vision system, the rate distortion (R-D) model is redesigned. Extensive experimental results demonstrate the effectiveness of the proposed method, which improves the R-D performance and the accuracy of the bit-rate control.

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Efficient Rate Control in Versatile Video Coding With Adaptive Spatial–Temporal Bit Allocation and Parameter Updating

Cited by 8 publications

References 46 publications

A High-Performance Rate Control Algorithm in Versatile Video Coding Based on Spatial and Temporal Feature Complexity

A High-Performance Rate Control Algorithm in Versatile Video Coding Based on Spatial and Temporal Feature Complexity

Neural network-based cross-channel chroma prediction for versatile video coding

Optimizing rate control model for screen content video in VVC

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