{"title":"AVS3内部编码的快速CU分区决策策略","authors":"Changxin Chen, Xinjie Luo, Yunyao Yan, Guoqing Xiang, Peng Zhang, Xiaofeng Huang, Wei Yan","doi":"10.1109/ICCE53296.2022.9730138","DOIUrl":null,"url":null,"abstract":"Third generation audio and video coding standard (AVS3) is a latest video coding standard developed by China. AVS3 allows flexible coding unit (CU) partition by applying quad-tree (QT), binary tree (BT), and extended quad-tree (EQT) partitioning structures. The increased block partition flexibility brings the significant coding complexity cost. This paper proposes a fast CU partition decision method based on the gradient and the variance for AVS3 intra coding. Experimental results show that the proposed fast algorithm can achieve a good balance between computational complexity and coding performance. Compared with AVS3 software reference HPM4.0, the coding time is reduced by 43%, while the average BD-Rate is only increased by 0.9% in AI (All-Intra) configuration.","PeriodicalId":350644,"journal":{"name":"2022 IEEE International Conference on Consumer Electronics (ICCE)","volume":"50 19 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-01-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"A Fast CU Partition Decision Strategy for AVS3 Intra Coding\",\"authors\":\"Changxin Chen, Xinjie Luo, Yunyao Yan, Guoqing Xiang, Peng Zhang, Xiaofeng Huang, Wei Yan\",\"doi\":\"10.1109/ICCE53296.2022.9730138\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Third generation audio and video coding standard (AVS3) is a latest video coding standard developed by China. AVS3 allows flexible coding unit (CU) partition by applying quad-tree (QT), binary tree (BT), and extended quad-tree (EQT) partitioning structures. The increased block partition flexibility brings the significant coding complexity cost. This paper proposes a fast CU partition decision method based on the gradient and the variance for AVS3 intra coding. Experimental results show that the proposed fast algorithm can achieve a good balance between computational complexity and coding performance. Compared with AVS3 software reference HPM4.0, the coding time is reduced by 43%, while the average BD-Rate is only increased by 0.9% in AI (All-Intra) configuration.\",\"PeriodicalId\":350644,\"journal\":{\"name\":\"2022 IEEE International Conference on Consumer Electronics (ICCE)\",\"volume\":\"50 19 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-01-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 IEEE International Conference on Consumer Electronics (ICCE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCE53296.2022.9730138\",\"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 Consumer Electronics (ICCE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCE53296.2022.9730138","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A Fast CU Partition Decision Strategy for AVS3 Intra Coding
Third generation audio and video coding standard (AVS3) is a latest video coding standard developed by China. AVS3 allows flexible coding unit (CU) partition by applying quad-tree (QT), binary tree (BT), and extended quad-tree (EQT) partitioning structures. The increased block partition flexibility brings the significant coding complexity cost. This paper proposes a fast CU partition decision method based on the gradient and the variance for AVS3 intra coding. Experimental results show that the proposed fast algorithm can achieve a good balance between computational complexity and coding performance. Compared with AVS3 software reference HPM4.0, the coding time is reduced by 43%, while the average BD-Rate is only increased by 0.9% in AI (All-Intra) configuration.