{"title":"基于模型的自适应分辨率上转换改进H.264 SVC","authors":"Xiaolin Wu, Mingkai Shao, Xiangjun Zhang","doi":"10.1109/ICIP.2010.5650774","DOIUrl":null,"url":null,"abstract":"H.264 SVC extension, as the state of art scalable video coding standard, can offer a single code stream to serve diverse communication bandwidths and display resolutions. However, the rate-distortion performance of H.264 SVC is still inferior to the non-scalable H.264 AVC. To reduce the performance gap between H.264 SVC and H.264 AVC, we propose a model-based adaptive resolution upconversion algorithm to improve the precision of the H.264 SVC inter-layer prediction. The new algorithm treats the up-sampling of video frames as an inverse problem of initial H.264 SVC down-sampling operation, and it significantly improves the performance of current H.264 SVC by optimally reversing the down-sampling filter.","PeriodicalId":228308,"journal":{"name":"2010 IEEE International Conference on Image Processing","volume":"42 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":"{\"title\":\"Improvement of H.264 SVC by model-based adaptive resolution upconversion\",\"authors\":\"Xiaolin Wu, Mingkai Shao, Xiangjun Zhang\",\"doi\":\"10.1109/ICIP.2010.5650774\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"H.264 SVC extension, as the state of art scalable video coding standard, can offer a single code stream to serve diverse communication bandwidths and display resolutions. However, the rate-distortion performance of H.264 SVC is still inferior to the non-scalable H.264 AVC. To reduce the performance gap between H.264 SVC and H.264 AVC, we propose a model-based adaptive resolution upconversion algorithm to improve the precision of the H.264 SVC inter-layer prediction. The new algorithm treats the up-sampling of video frames as an inverse problem of initial H.264 SVC down-sampling operation, and it significantly improves the performance of current H.264 SVC by optimally reversing the down-sampling filter.\",\"PeriodicalId\":228308,\"journal\":{\"name\":\"2010 IEEE International Conference on Image Processing\",\"volume\":\"42 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-12-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"8\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 IEEE International Conference on Image Processing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICIP.2010.5650774\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 IEEE International Conference on Image Processing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICIP.2010.5650774","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Improvement of H.264 SVC by model-based adaptive resolution upconversion
H.264 SVC extension, as the state of art scalable video coding standard, can offer a single code stream to serve diverse communication bandwidths and display resolutions. However, the rate-distortion performance of H.264 SVC is still inferior to the non-scalable H.264 AVC. To reduce the performance gap between H.264 SVC and H.264 AVC, we propose a model-based adaptive resolution upconversion algorithm to improve the precision of the H.264 SVC inter-layer prediction. The new algorithm treats the up-sampling of video frames as an inverse problem of initial H.264 SVC down-sampling operation, and it significantly improves the performance of current H.264 SVC by optimally reversing the down-sampling filter.