Fast intra coding algorithm for HEVC based on depth range prediction and mode reduction

Chen, Fen; Jin, Defu; Peng, Zongju; Jiang, Gangyi; Yu, Mei; Chen, Hua

doi:10.1007/s11042-018-6011-8

Cited by 13 publications

(16 citation statements)

References 34 publications

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“…The decision result of split/non-split is based on a homogenous classification algorithm that avoids testing all depths to determine the optimal CU size. In [19], a new fast intra frame coding algorithm is presented. Based on the analysis of the mode parameters obtained in the previous frame, a new feature is proposed to measure the complexity of video content and the model is built according to the relationship between the feature and the depth range of the CU.…”

Section: Related Workmentioning

confidence: 99%

Fast ISP coding mode optimization algorithm based on CU texture complexity for VVC

Liu

Dong

Guan

et al. 2021

J Image Video Proc.

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In lately published video coding standard Versatile Video Coding (VVC/ H.266), the intra sub-partitions (ISP) coding mode is proposed. It is efficient for frames with rich texture, but less efficient for frames that are very flat or constant. In this paper, by comparing and analyzing the rate distortion cost (RD-cost) of coding unit (CU) with different texture features for using and not using ISP(No-ISP) coding mode, it is observed that CUs with simple texture can skip ISP coding mode. Based on this observation, a fast ISP coding mode optimization algorithm based on CU texture complexity is proposed, which aims to determine whether a CU needs to use ISP coding mode in advance by calculating CU texture complexity, so as to reduce the computation complexity of ISP. The experimental results show that under All Intra (AI) configuration, the coding time can be reduced by 7%, while the BD rate only increase by 0.09%.

show abstract

Section: Related Workmentioning

confidence: 99%

Fast ISP coding mode optimization algorithm based on CU texture complexity for VVC

Liu

Dong

Guan

et al. 2021

J Image Video Proc.

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show abstract

“…GHz and 4GB RAM, Windows 7 64bit operating system. The test conditions and configurations in our experiment are built based on the JCT-VC [35]. Eighteen different test sequences are used to test the performance of our proposed method in our experiment.…”

Section: Build Experimental Environmentmentioning

confidence: 99%

“…Other some general configuration parameters are listed in Table 6. In our experiment, four mode prediction decision methods, Mohammadreza's scheme [21], Liao's scheme [34], Chen's scheme [35] and our proposed scheme, are test for the performance of BDBR, BDPSNR and TS, compared with the standard HM16.1algothm [36]. Where Mohammadreza's scheme mainly uses improved edge detection and SATD costs classification to reduce the computational complexity for HEVC; Liao's scheme mainly uses the depth information as well as adjusted MPM, to reduce the computational complexity for HEVC; Chen's scheme mainly uses the depth range prediction and mode reduction to save the computational complexity for HEVC, while our proposed method mainly uses texture grouping and statistical probability technology to reduce the computational complexity for HEVC.…”

Section: Build Experimental Environmentmentioning

confidence: 99%

Texture Grouping and Statistical Optimization Based Mode Prediction Decision Algorithm for Fast HEVC Intra Coding

Wang¹,

Lin²,

Zhao³

et al. 2021

Preprint

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HEVC (High Efficiency Video Coding), as one of the newest international video coding standard, can achieve about 50% bit rate reduction compared with H.264/AVC (Advanced Video Coding) at the same perceptual quality due to the use of flexible CTU(coding tree unit) structure, but at the same time, it also dramatically adds the higher computational complexity for HEVC. With the aim of reducing the computational complexity, a texture grouping and statistical optimization based mode prediction decision algorithm is proposed for HEVC intra coding in this paper. The contribution of this paper lies in the fact that we successfully use the texture information grouping and statistical probability optimization technology to rapidly determine the optimal prediction mode for the current PU, which can reduce many unnecessary prediction and calculation operations of HCost (Hadamard Cost) and RDCost (Rate Distortion Cost) in HEVC, thus saving much computation complexity for HEVC. Specially, in our scheme, firstly we group 35 intra prediction modes into 5 subsets of candidate modes list according to its texture information of edge in the current PU, and each subset only contains 11 intra prediction modes, which can greatly reduce many traversing number of candidate mode in RMD (Rough Mode Decision) from 35 to 11 prediction modes; Secondly we use the statistical probability of the first candidate modes in candidate modes list as well as MPM selected as the optimal prediction mode to reduce the number of candidate modes in RDO(Rate Distortion Optimization), which can reduce the number of candidate modes from 3+MPM or 8+MPM to 2 candidate modes; At last, we use the number of candidate modes determined above to quickly find the optimal prediction mode with the minimum RDCost by RDO process. As a result, the computational complexity of HEVC can be efficiently reduced by our proposed scheme. And the simulation results of our experiments show that our proposed intra mode prediction decision algorithm based on texture information grouping and statistical probability optimization in this paper can reduce about 46.13% computational complexity on average only at a cost of 0.67% bit rate increase and 0.056db PSNR decline compared with the standard reference HM16.1 algorithm.

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“…The decision result of split/non-split is based on a homogenous classification algorithm that avoids testing at all depths to determine the optimal CU size. In [15] a new fast intra frame coding algorithm is presented. Based on the analysis of the mode information obtained in the previous frame, a new feature is proposed to measure the complexity of video content.…”

Section: Related Workmentioning

confidence: 99%

Fast ISP Coding Mode Optimization Algorithm Based on CU Texture Complexity for VVC

Liu

Dong

Guan

et al. 2020

Preprint

View full text Add to dashboard Cite

In lately published video coding standard Versatile Video Coding (VVC/ H.266), the intra sub-partitions (ISP) coding mode is proposed. It is efficient for frames with rich texture, but less efficient for frames that are very flat or constant. In this paper, by comparing and analyzing the rate distortion cost (RD-cost) of coding unit (CU) with different texture features for using and not using ISP(No-ISP) coding mode, it is found that CUs with simple texture can get better coding performance in No-ISP coding mode. Based on this observations, a fast ISP coding mode optimization algorithm based on CU texture complexity is proposed, which aims to determine whether CU needs to use ISP coding mode in advance by calculating CU texture complexity, so as to reduce the computation complexity of ISP. The experimental results show that under All Intra (AI) configuration, the coding time can be reduced by 7%, while the BD-rate only increase by 0.09%.

show abstract

Fast intra coding algorithm for HEVC based on depth range prediction and mode reduction

Cited by 13 publications

References 34 publications

Fast ISP coding mode optimization algorithm based on CU texture complexity for VVC

Fast ISP coding mode optimization algorithm based on CU texture complexity for VVC

Texture Grouping and Statistical Optimization Based Mode Prediction Decision Algorithm for Fast HEVC Intra Coding

Fast ISP Coding Mode Optimization Algorithm Based on CU Texture Complexity for VVC

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