Interactive Compression of Digital Data

被引:2
|
作者
Carpentieri, Bruno [1 ]
机构
[1] Univ Salerno, Dipartimento Informat Applicaz RM Capocelli, Via Ponte Don Melillo, I-84084 Fisciano, SA, Italy
来源
ALGORITHMS | 2010年 / 3卷 / 01期
关键词
data compression; entropy; conditional compression;
D O I
10.3390/a3010063
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
If we can use previous knowledge of the source (or the knowledge of a source that is correlated to the one we want to compress) to exploit the compression process then we can have significant gains in compression. By doing this in the fundamental source coding theorem we can substitute entropy with conditional entropy and we have a new theoretical limit that allows for better compression. To do this, when data compression is used for data transmission, we can assume some degree of interaction between the compressor and the decompressor that can allow a more efficient usage of the previous knowledge they both have of the source. In this paper we review previous work that applies interactive approaches to data compression and discuss this possibility.
引用
收藏
页码:63 / 75
页数:13
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