{"title":"Fast CU partition and intra mode prediction method for HEVC","authors":"I. Werda, Amna Maraoui, F. Sayadi, N. Masmoudi","doi":"10.1109/SETIT54465.2022.9875798","DOIUrl":null,"url":null,"abstract":"The high-efficiency video coding (HEVC) standard adopts an exhaustive decision algorithm based on a recursive standardized quad-tree coding unit, a prediction unit, and a transform unit. Consequently, it is possible to achieve substantial coding performance. Nevertheless, a significant computational complexity is generated. This paper’s goal is to reduce HEVC intra coding process computational complexity when designing a fast CU partition module based on the Support Vector Machine (SVM) approach and a Gradient-based fast intra-prediction mode module. Experiment results show that the proposed algorithm saves 50.97% of encoding time while increasing compression efficiency by 0.90%.","PeriodicalId":126155,"journal":{"name":"2022 IEEE 9th International Conference on Sciences of Electronics, Technologies of Information and Telecommunications (SETIT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE 9th International Conference on Sciences of Electronics, Technologies of Information and Telecommunications (SETIT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SETIT54465.2022.9875798","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
The high-efficiency video coding (HEVC) standard adopts an exhaustive decision algorithm based on a recursive standardized quad-tree coding unit, a prediction unit, and a transform unit. Consequently, it is possible to achieve substantial coding performance. Nevertheless, a significant computational complexity is generated. This paper’s goal is to reduce HEVC intra coding process computational complexity when designing a fast CU partition module based on the Support Vector Machine (SVM) approach and a Gradient-based fast intra-prediction mode module. Experiment results show that the proposed algorithm saves 50.97% of encoding time while increasing compression efficiency by 0.90%.
高效视频编码(high-efficiency video coding, HEVC)标准采用了一种基于递归标准化四叉树编码单元、预测单元和变换单元的穷举决策算法。因此,有可能实现实质性的编码性能。然而,产生了显著的计算复杂性。为了降低HEVC编码过程的计算复杂度,本文设计了基于支持向量机(SVM)方法的快速CU划分模块和基于梯度的快速内预测模式模块。实验结果表明,该算法节省了50.97%的编码时间,压缩效率提高了0.90%。