{"title":"基于奇异向量分解的运动补偿残差自适应变换","authors":"Xiaoran Cao, Yun He","doi":"10.1109/ICIP.2014.7025838","DOIUrl":null,"url":null,"abstract":"Video coding standards commonly use discrete cosine transform (DCT) to transform the motion compensation (M-C) residuals. However, the MC residuals have much weaker correlation than image pixels, and DCT is not the optimized transform for them. In this paper, we propose an adaptive transform structure for MC residuals. Unlike traditional approaches which use a predefined transform core, we apply singular value decomposition (SVD) on the prediction block and use the eigenvector matrices as the transform core. Experiments show that this adaptive transform is more efficient compared with the traditional approach. An average 2.0% bit rate reduction is achieved when implemented on H.265/HEVC.","PeriodicalId":6856,"journal":{"name":"2014 IEEE International Conference on Image Processing (ICIP)","volume":"35 1","pages":"4127-4131"},"PeriodicalIF":0.0000,"publicationDate":"2014-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"13","resultStr":"{\"title\":\"Singular vector decomposition based adaptive transform for motion compensation residuals\",\"authors\":\"Xiaoran Cao, Yun He\",\"doi\":\"10.1109/ICIP.2014.7025838\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Video coding standards commonly use discrete cosine transform (DCT) to transform the motion compensation (M-C) residuals. However, the MC residuals have much weaker correlation than image pixels, and DCT is not the optimized transform for them. In this paper, we propose an adaptive transform structure for MC residuals. Unlike traditional approaches which use a predefined transform core, we apply singular value decomposition (SVD) on the prediction block and use the eigenvector matrices as the transform core. Experiments show that this adaptive transform is more efficient compared with the traditional approach. An average 2.0% bit rate reduction is achieved when implemented on H.265/HEVC.\",\"PeriodicalId\":6856,\"journal\":{\"name\":\"2014 IEEE International Conference on Image Processing (ICIP)\",\"volume\":\"35 1\",\"pages\":\"4127-4131\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"13\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2014 IEEE International Conference on Image Processing (ICIP)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICIP.2014.7025838\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 IEEE International Conference on Image Processing (ICIP)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICIP.2014.7025838","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Singular vector decomposition based adaptive transform for motion compensation residuals
Video coding standards commonly use discrete cosine transform (DCT) to transform the motion compensation (M-C) residuals. However, the MC residuals have much weaker correlation than image pixels, and DCT is not the optimized transform for them. In this paper, we propose an adaptive transform structure for MC residuals. Unlike traditional approaches which use a predefined transform core, we apply singular value decomposition (SVD) on the prediction block and use the eigenvector matrices as the transform core. Experiments show that this adaptive transform is more efficient compared with the traditional approach. An average 2.0% bit rate reduction is achieved when implemented on H.265/HEVC.