{"title":"基于区域纹理模型的增强视频压缩","authors":"Fan Zhang, D. Bull","doi":"10.1109/PCS.2010.5702560","DOIUrl":null,"url":null,"abstract":"This paper presents a region-based video compression algorithm based on texture warping and synthesis. Instead of encoding whole images or prediction residuals after translational motion estimation, this algorithm employs a perspective motion model to warp static textures and uses a texture synthesis approach to synthesise dynamic textures. Spatial and temporal artefacts are prevented by an in-loop video quality assessment module. The proposed method has been integrated into an H.264 video coding framework. The results show significant bitrate savings, up to 55%, compared with H.264, for similar visual quality.","PeriodicalId":255142,"journal":{"name":"28th Picture Coding Symposium","volume":"21 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":"{\"title\":\"Enhanced video compression with region-based texture models\",\"authors\":\"Fan Zhang, D. Bull\",\"doi\":\"10.1109/PCS.2010.5702560\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents a region-based video compression algorithm based on texture warping and synthesis. Instead of encoding whole images or prediction residuals after translational motion estimation, this algorithm employs a perspective motion model to warp static textures and uses a texture synthesis approach to synthesise dynamic textures. Spatial and temporal artefacts are prevented by an in-loop video quality assessment module. The proposed method has been integrated into an H.264 video coding framework. The results show significant bitrate savings, up to 55%, compared with H.264, for similar visual quality.\",\"PeriodicalId\":255142,\"journal\":{\"name\":\"28th Picture Coding Symposium\",\"volume\":\"21 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"8\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"28th Picture Coding Symposium\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/PCS.2010.5702560\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"28th Picture Coding Symposium","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PCS.2010.5702560","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Enhanced video compression with region-based texture models
This paper presents a region-based video compression algorithm based on texture warping and synthesis. Instead of encoding whole images or prediction residuals after translational motion estimation, this algorithm employs a perspective motion model to warp static textures and uses a texture synthesis approach to synthesise dynamic textures. Spatial and temporal artefacts are prevented by an in-loop video quality assessment module. The proposed method has been integrated into an H.264 video coding framework. The results show significant bitrate savings, up to 55%, compared with H.264, for similar visual quality.