{"title":"一种用于视频压缩的过完备离散小波变换","authors":"N. Sebe, C. Lamba, M. Lew","doi":"10.1109/ICME.2002.1035863","DOIUrl":null,"url":null,"abstract":"The translated function with any integer multiple of the sampling period is completely represented in the wavelet space by one of the overcomplete discrete wavelet transform (ODWT) members. This theoretical result leads to a new motion estimation and motion compensation scheme working in the wavelet transform domain. Our experiments, performed on real image sequences, show high quality and low bit rate performances. Moreover, by performing the motion estimation in the wavelet space a major reduction of the computational cost is achieved.","PeriodicalId":90694,"journal":{"name":"Proceedings. IEEE International Conference on Multimedia and Expo","volume":"41 1","pages":"641-644 vol.1"},"PeriodicalIF":0.0000,"publicationDate":"2002-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"An overcomplete discrete wavelet transform for video compression\",\"authors\":\"N. Sebe, C. Lamba, M. Lew\",\"doi\":\"10.1109/ICME.2002.1035863\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The translated function with any integer multiple of the sampling period is completely represented in the wavelet space by one of the overcomplete discrete wavelet transform (ODWT) members. This theoretical result leads to a new motion estimation and motion compensation scheme working in the wavelet transform domain. Our experiments, performed on real image sequences, show high quality and low bit rate performances. Moreover, by performing the motion estimation in the wavelet space a major reduction of the computational cost is achieved.\",\"PeriodicalId\":90694,\"journal\":{\"name\":\"Proceedings. IEEE International Conference on Multimedia and Expo\",\"volume\":\"41 1\",\"pages\":\"641-644 vol.1\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2002-11-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings. IEEE International Conference on Multimedia and Expo\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICME.2002.1035863\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings. IEEE International Conference on Multimedia and Expo","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICME.2002.1035863","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
An overcomplete discrete wavelet transform for video compression
The translated function with any integer multiple of the sampling period is completely represented in the wavelet space by one of the overcomplete discrete wavelet transform (ODWT) members. This theoretical result leads to a new motion estimation and motion compensation scheme working in the wavelet transform domain. Our experiments, performed on real image sequences, show high quality and low bit rate performances. Moreover, by performing the motion estimation in the wavelet space a major reduction of the computational cost is achieved.