{"title":"基于后缀树的压缩模式匹配vf编码","authors":"T. Kida","doi":"10.1109/DCC.2009.58","DOIUrl":null,"url":null,"abstract":"We propose an efficient variable-length-to-fixed-length code (VF code for short), called ST-VF code. It utilizes a frequency-base-pruned suffix tree as a parse tree. VF codes as typified by Tunstall code have a preferable aspect to compressed pattern matching. It is unnecessary to distinguish code boundaries on compressed texts since all codewords have the same length.","PeriodicalId":377880,"journal":{"name":"2009 Data Compression Conference","volume":"39 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"18","resultStr":"{\"title\":\"Suffix Tree Based VF-Coding for Compressed Pattern Matching\",\"authors\":\"T. Kida\",\"doi\":\"10.1109/DCC.2009.58\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We propose an efficient variable-length-to-fixed-length code (VF code for short), called ST-VF code. It utilizes a frequency-base-pruned suffix tree as a parse tree. VF codes as typified by Tunstall code have a preferable aspect to compressed pattern matching. It is unnecessary to distinguish code boundaries on compressed texts since all codewords have the same length.\",\"PeriodicalId\":377880,\"journal\":{\"name\":\"2009 Data Compression Conference\",\"volume\":\"39 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-03-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"18\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2009 Data Compression Conference\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/DCC.2009.58\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 Data Compression Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/DCC.2009.58","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Suffix Tree Based VF-Coding for Compressed Pattern Matching
We propose an efficient variable-length-to-fixed-length code (VF code for short), called ST-VF code. It utilizes a frequency-base-pruned suffix tree as a parse tree. VF codes as typified by Tunstall code have a preferable aspect to compressed pattern matching. It is unnecessary to distinguish code boundaries on compressed texts since all codewords have the same length.
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