Statistical modeling based fast rate estimation algorithm for VVC
To reduce the coding complexity of the rate-distortion optimization process of the latest video coding standard versatile video coding (VVC), a fast rate estimation model based on statistical modeling was proposed.Firstly, the quantization behavior in dependent quantization (DQ) and the context depe...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | zho |
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Beijing Xintong Media Co., Ltd
2022-12-01
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| Series: | Dianxin kexue |
| Subjects: | |
| Online Access: | http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2022279/ |
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| _version_ | 1841530763348017152 |
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| author | Wei QI Haibing YIN Hongkui WANG Xiaofeng HUANG Weihong NIU |
| author_facet | Wei QI Haibing YIN Hongkui WANG Xiaofeng HUANG Weihong NIU |
| author_sort | Wei QI |
| collection | DOAJ |
| description | To reduce the coding complexity of the rate-distortion optimization process of the latest video coding standard versatile video coding (VVC), a fast rate estimation model based on statistical modeling was proposed.Firstly, the quantization behavior in dependent quantization (DQ) and the context dependency in entropy coding were fully considered.Features that could describe context state transition in the coding process were proposed to estimate rate of some synatax elements in a TU preliminarily.Secondly, coefficient chaos and sparsity features were proposed to distinguish the influence of coefficient distribution difference on the rate cost based on the coefficient distribution characteristics which built a TU level rate model.Finally, large-size transform unit (TU) and small-size TU was modeling respectively according to the rate composition character to achieve more accurate rate estimation.A large number of parameters were trained by regression model through statistical methods, and the final linear rate model was obtained which was applied to the mode decision.Experimental results show that the proposed algorithm can achieve 16.289% complexity reduction with 1.567% BD-BR increase for RA configuration. |
| format | Article |
| id | doaj-art-97c15a57fc584d52a72630895e204c6e |
| institution | Kabale University |
| issn | 1000-0801 |
| language | zho |
| publishDate | 2022-12-01 |
| publisher | Beijing Xintong Media Co., Ltd |
| record_format | Article |
| series | Dianxin kexue |
| spelling | doaj-art-97c15a57fc584d52a72630895e204c6e2025-01-15T02:59:42ZzhoBeijing Xintong Media Co., LtdDianxin kexue1000-08012022-12-0138354559574172Statistical modeling based fast rate estimation algorithm for VVCWei QIHaibing YINHongkui WANGXiaofeng HUANGWeihong NIUTo reduce the coding complexity of the rate-distortion optimization process of the latest video coding standard versatile video coding (VVC), a fast rate estimation model based on statistical modeling was proposed.Firstly, the quantization behavior in dependent quantization (DQ) and the context dependency in entropy coding were fully considered.Features that could describe context state transition in the coding process were proposed to estimate rate of some synatax elements in a TU preliminarily.Secondly, coefficient chaos and sparsity features were proposed to distinguish the influence of coefficient distribution difference on the rate cost based on the coefficient distribution characteristics which built a TU level rate model.Finally, large-size transform unit (TU) and small-size TU was modeling respectively according to the rate composition character to achieve more accurate rate estimation.A large number of parameters were trained by regression model through statistical methods, and the final linear rate model was obtained which was applied to the mode decision.Experimental results show that the proposed algorithm can achieve 16.289% complexity reduction with 1.567% BD-BR increase for RA configuration.http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2022279/rate estimationVVCRDOregression training |
| spellingShingle | Wei QI Haibing YIN Hongkui WANG Xiaofeng HUANG Weihong NIU Statistical modeling based fast rate estimation algorithm for VVC Dianxin kexue rate estimation VVC RDO regression training |
| title | Statistical modeling based fast rate estimation algorithm for VVC |
| title_full | Statistical modeling based fast rate estimation algorithm for VVC |
| title_fullStr | Statistical modeling based fast rate estimation algorithm for VVC |
| title_full_unstemmed | Statistical modeling based fast rate estimation algorithm for VVC |
| title_short | Statistical modeling based fast rate estimation algorithm for VVC |
| title_sort | statistical modeling based fast rate estimation algorithm for vvc |
| topic | rate estimation VVC RDO regression training |
| url | http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2022279/ |
| work_keys_str_mv | AT weiqi statisticalmodelingbasedfastrateestimationalgorithmforvvc AT haibingyin statisticalmodelingbasedfastrateestimationalgorithmforvvc AT hongkuiwang statisticalmodelingbasedfastrateestimationalgorithmforvvc AT xiaofenghuang statisticalmodelingbasedfastrateestimationalgorithmforvvc AT weihongniu statisticalmodelingbasedfastrateestimationalgorithmforvvc |