高压缩率和比例使用预定义的霍夫曼字典

2013 Data Compression Conference Pub Date : 2013-03-20 DOI:10.1109/DCC.2013.119

Amit Golander, S. Tahar, Lior Glass, G. Biran, Sagi Manole

{"title":"高压缩率和比例使用预定义的霍夫曼字典","authors":"Amit Golander, S. Tahar, Lior Glass, G. Biran, Sagi Manole","doi":"10.1109/DCC.2013.119","DOIUrl":null,"url":null,"abstract":"Current Huffman coding modes are optimal for a single metric: compression ratio (quality) or rate (performance). We recognize that real life data can usually be classified to families of data types and thus the Huffman dictionary can be reused instead of recalculated. In this paper, we show how to balance the trade-off between compression ratio and rate, without modifying existing standards and legacy decompression implementations.","PeriodicalId":388717,"journal":{"name":"2013 Data Compression Conference","volume":"56 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"High Compression Rate and Ratio Using Predefined Huffman Dictionaries\",\"authors\":\"Amit Golander, S. Tahar, Lior Glass, G. Biran, Sagi Manole\",\"doi\":\"10.1109/DCC.2013.119\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Current Huffman coding modes are optimal for a single metric: compression ratio (quality) or rate (performance). We recognize that real life data can usually be classified to families of data types and thus the Huffman dictionary can be reused instead of recalculated. In this paper, we show how to balance the trade-off between compression ratio and rate, without modifying existing standards and legacy decompression implementations.\",\"PeriodicalId\":388717,\"journal\":{\"name\":\"2013 Data Compression Conference\",\"volume\":\"56 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-03-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2013 Data Compression Conference\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/DCC.2013.119\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 Data Compression Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/DCC.2013.119","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 0

摘要

目前的霍夫曼编码模式是最优的单一指标:压缩比(质量)或率(性能)。我们认识到，现实生活中的数据通常可以被分类为数据类型的家族，因此霍夫曼字典可以被重用，而不是重新计算。在本文中，我们将展示如何在不修改现有标准和遗留解压缩实现的情况下平衡压缩比和速率之间的权衡。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

High Compression Rate and Ratio Using Predefined Huffman Dictionaries

Current Huffman coding modes are optimal for a single metric: compression ratio (quality) or rate (performance). We recognize that real life data can usually be classified to families of data types and thus the Huffman dictionary can be reused instead of recalculated. In this paper, we show how to balance the trade-off between compression ratio and rate, without modifying existing standards and legacy decompression implementations.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

2013 Data Compression Conference

自引率

0.00%

发文量