{"title":"定量误差建模分析","authors":"Bo Shen","doi":"10.1109/MMSP.2005.248627","DOIUrl":null,"url":null,"abstract":"Requantization has many applications in the processing of compressed multimedia content. However, no work has thorough analysis on its dynamics. A previous work has only numerically evaluated this process since it is found difficult to track analytically. We present a new approach in this paper to carry out an analytical study based on analysis of the intervals using number theory. This work proves some of the insights proposed before as propositions. The theoretical results also serve as a foundation in further algorithm development for requantization-related applications","PeriodicalId":191719,"journal":{"name":"2005 IEEE 7th Workshop on Multimedia Signal Processing","volume":"38 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2005-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"Modeled Analysis on Requantization Error\",\"authors\":\"Bo Shen\",\"doi\":\"10.1109/MMSP.2005.248627\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Requantization has many applications in the processing of compressed multimedia content. However, no work has thorough analysis on its dynamics. A previous work has only numerically evaluated this process since it is found difficult to track analytically. We present a new approach in this paper to carry out an analytical study based on analysis of the intervals using number theory. This work proves some of the insights proposed before as propositions. The theoretical results also serve as a foundation in further algorithm development for requantization-related applications\",\"PeriodicalId\":191719,\"journal\":{\"name\":\"2005 IEEE 7th Workshop on Multimedia Signal Processing\",\"volume\":\"38 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2005-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2005 IEEE 7th Workshop on Multimedia Signal Processing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/MMSP.2005.248627\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2005 IEEE 7th Workshop on Multimedia Signal Processing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MMSP.2005.248627","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Requantization has many applications in the processing of compressed multimedia content. However, no work has thorough analysis on its dynamics. A previous work has only numerically evaluated this process since it is found difficult to track analytically. We present a new approach in this paper to carry out an analytical study based on analysis of the intervals using number theory. This work proves some of the insights proposed before as propositions. The theoretical results also serve as a foundation in further algorithm development for requantization-related applications
求助内容：
应助结果提醒方式：
京公网安备 11010802042870号
