International audienceWe give a new text-compression scheme based on forbidden words ("antidictionary"). We prove that our algorithms attain the entropy for balanced binary sources. They run in linear time. Moreover, one of the main advantages of this approach is that it produces very fast decompressors. A second advantage is a synchronization property that is helpful to search compressed data and allows parallel compression. The techniques used in this paper are from information theory and finite automata
We investigate the problem of variable-length compression with random access for stationary and ergo...
AbstractWe present a data compression algorithm that uses the factor automation. The method is relat...
Gagie T. New algorithms and lower bounds for sequential-access data compression. Bielefeld (Germany)...
International audienceWe give a new text compression scheme based on Forbidden Words ("antidictionar...
International audienceWe give a new text-compression scheme based on forbidden words ("antidictionar...
In this paper we focus on the problem of compressed pattern matching for the text compression using...
In this paper we study interactive data compression and present experimental results on the interact...
Semistatic word-based byte-oriented compression codes are known to be attractive alternatives to com...
We address parallel and high-speed lossless data compression. Data compression attempts to reduce th...
In this paper we consider a parsing algorithm originally introduced in [1] for estimating the infor...
We provide a general boosting technique for Textual Data Compression. Qualitatively, it takes a good...
Semistatic byte-oriented word-based compression codes have been shown to be an attractive alternativ...
A new algorithm for text compression is presented. The basic idea of the algorithm is to define a un...
Abstract. We provide a general boosting technique for Textual Data Compression. Qualitatively, it ta...
Semistatic word-based byte-oriented compressors are known to be attractive alternatives to compress ...
We investigate the problem of variable-length compression with random access for stationary and ergo...
AbstractWe present a data compression algorithm that uses the factor automation. The method is relat...
Gagie T. New algorithms and lower bounds for sequential-access data compression. Bielefeld (Germany)...
International audienceWe give a new text compression scheme based on Forbidden Words ("antidictionar...
International audienceWe give a new text-compression scheme based on forbidden words ("antidictionar...
In this paper we focus on the problem of compressed pattern matching for the text compression using...
In this paper we study interactive data compression and present experimental results on the interact...
Semistatic word-based byte-oriented compression codes are known to be attractive alternatives to com...
We address parallel and high-speed lossless data compression. Data compression attempts to reduce th...
In this paper we consider a parsing algorithm originally introduced in [1] for estimating the infor...
We provide a general boosting technique for Textual Data Compression. Qualitatively, it takes a good...
Semistatic byte-oriented word-based compression codes have been shown to be an attractive alternativ...
A new algorithm for text compression is presented. The basic idea of the algorithm is to define a un...
Abstract. We provide a general boosting technique for Textual Data Compression. Qualitatively, it ta...
Semistatic word-based byte-oriented compressors are known to be attractive alternatives to compress ...
We investigate the problem of variable-length compression with random access for stationary and ergo...
AbstractWe present a data compression algorithm that uses the factor automation. The method is relat...
Gagie T. New algorithms and lower bounds for sequential-access data compression. Bielefeld (Germany)...