Kaijie Wang, Hong Liang, Saiping Zhang, Fuzheng Yang
{"title":"基于额外树的VVC内部编码快速CU划分方法","authors":"Kaijie Wang, Hong Liang, Saiping Zhang, Fuzheng Yang","doi":"10.1109/VCIP56404.2022.10008800","DOIUrl":null,"url":null,"abstract":"In this paper, we propose a method to skip unnecessary CU encoding modes for VVC Intra coding based on the extra trees model. Two extra tree models with calculated features are used to simplify the encoding process, where the first model determines whether to early terminate the partition and the best partition direction and the second model selects the better partition mode between the binary and ternary partition modes. Experimental results show that our proposed method can save encoding time from 34.68% to 46.70% with only from 0.81% to 1.65% increase of BDBR compared to VVC reference software (VTM 10.0). Besides, the method gets a great tradeoff when applied on VVenC 1.0, an efficient encoder ofVVC, at both preset slower and preset medium.","PeriodicalId":269379,"journal":{"name":"2022 IEEE International Conference on Visual Communications and Image Processing (VCIP)","volume":"89 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Fast CU Partition Method Based on Extra Trees for VVC Intra Coding\",\"authors\":\"Kaijie Wang, Hong Liang, Saiping Zhang, Fuzheng Yang\",\"doi\":\"10.1109/VCIP56404.2022.10008800\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, we propose a method to skip unnecessary CU encoding modes for VVC Intra coding based on the extra trees model. Two extra tree models with calculated features are used to simplify the encoding process, where the first model determines whether to early terminate the partition and the best partition direction and the second model selects the better partition mode between the binary and ternary partition modes. Experimental results show that our proposed method can save encoding time from 34.68% to 46.70% with only from 0.81% to 1.65% increase of BDBR compared to VVC reference software (VTM 10.0). Besides, the method gets a great tradeoff when applied on VVenC 1.0, an efficient encoder ofVVC, at both preset slower and preset medium.\",\"PeriodicalId\":269379,\"journal\":{\"name\":\"2022 IEEE International Conference on Visual Communications and Image Processing (VCIP)\",\"volume\":\"89 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-12-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 IEEE International Conference on Visual Communications and Image Processing (VCIP)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/VCIP56404.2022.10008800\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE International Conference on Visual Communications and Image Processing (VCIP)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/VCIP56404.2022.10008800","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Fast CU Partition Method Based on Extra Trees for VVC Intra Coding
In this paper, we propose a method to skip unnecessary CU encoding modes for VVC Intra coding based on the extra trees model. Two extra tree models with calculated features are used to simplify the encoding process, where the first model determines whether to early terminate the partition and the best partition direction and the second model selects the better partition mode between the binary and ternary partition modes. Experimental results show that our proposed method can save encoding time from 34.68% to 46.70% with only from 0.81% to 1.65% increase of BDBR compared to VVC reference software (VTM 10.0). Besides, the method gets a great tradeoff when applied on VVenC 1.0, an efficient encoder ofVVC, at both preset slower and preset medium.