B. Aiazzi, P. S. Alba, L. Alparone, S. Baronti, F. Lotti, A. Mattei
{"title":"用于图像和三维数据无损压缩的模糊聚类和线性回归模型切换的分布式实现","authors":"B. Aiazzi, P. S. Alba, L. Alparone, S. Baronti, F. Lotti, A. Mattei","doi":"10.1109/MMSP.1998.738966","DOIUrl":null,"url":null,"abstract":"A distributed implementation of a new method for reversible compression of both 2D and 3D data is presented. A classified prediction is first trained through fuzzy clustering; then, data decorrelation is accomplished by prediction in a fuzzy fashion. Context-based adaptive arithmetic coding is tailored to the prediction errors to enhance entropy coding. Results and comparisons with other schemes are presented and discussed together with computational issues.","PeriodicalId":180426,"journal":{"name":"1998 IEEE Second Workshop on Multimedia Signal Processing (Cat. No.98EX175)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1998-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"A distributed implementation of fuzzy clustering and switching of linear regression models for lossless compression of imagery and 3D data\",\"authors\":\"B. Aiazzi, P. S. Alba, L. Alparone, S. Baronti, F. Lotti, A. Mattei\",\"doi\":\"10.1109/MMSP.1998.738966\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A distributed implementation of a new method for reversible compression of both 2D and 3D data is presented. A classified prediction is first trained through fuzzy clustering; then, data decorrelation is accomplished by prediction in a fuzzy fashion. Context-based adaptive arithmetic coding is tailored to the prediction errors to enhance entropy coding. Results and comparisons with other schemes are presented and discussed together with computational issues.\",\"PeriodicalId\":180426,\"journal\":{\"name\":\"1998 IEEE Second Workshop on Multimedia Signal Processing (Cat. No.98EX175)\",\"volume\":\"24 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1998-12-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"1998 IEEE Second Workshop on Multimedia Signal Processing (Cat. No.98EX175)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/MMSP.1998.738966\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"1998 IEEE Second Workshop on Multimedia Signal Processing (Cat. No.98EX175)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MMSP.1998.738966","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A distributed implementation of fuzzy clustering and switching of linear regression models for lossless compression of imagery and 3D data
A distributed implementation of a new method for reversible compression of both 2D and 3D data is presented. A classified prediction is first trained through fuzzy clustering; then, data decorrelation is accomplished by prediction in a fuzzy fashion. Context-based adaptive arithmetic coding is tailored to the prediction errors to enhance entropy coding. Results and comparisons with other schemes are presented and discussed together with computational issues.