Presentation 2005-07-22
Data Compression by Arithmetic Coding and Source Modeling Based on the Anti-Dictionary Method
Noriyuki OHKAWA, Kunihiko HARADA, Hirosuke YAMAMOTO,
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Abstract(in English) Generally, the anti-dictionary method can't archive high compression rate except the case that a data sequence can be modeled approximately by a balanced binary source, which is a finite unifilar binary source such that symbols 0 and 1 are generated only with probabilities 0, 0.5, or 1. But, the finite state transition diagram constructed for a given data sequence by the anti-dictionary method is a good source model of the data sequence. So, we propose a compression method which encodes a data sequence by arithmetic coding under the above source model. We also show that the proposed method can archive compression rate similar to or better than gzip by compressing on Calgary and Canterbury Corpora.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Anti-dictionary method / Arithmetic coding / Lossless compression
Paper # IT2005-49
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Committee IT
Conference Date 2005/7/15(1days)
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Registration To Information Theory (IT)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Data Compression by Arithmetic Coding and Source Modeling Based on the Anti-Dictionary Method
Sub Title (in English)
Keyword(1) Anti-dictionary method
Keyword(2) Arithmetic coding
Keyword(3) Lossless compression
1st Author's Name Noriyuki OHKAWA
1st Author's Affiliation University of Tokyo, Graduate School of Information Science and Technology()
2nd Author's Name Kunihiko HARADA
2nd Author's Affiliation University of Tokyo, Graduate School of Information Science and Technology
3rd Author's Name Hirosuke YAMAMOTO
3rd Author's Affiliation University of Tokyo, Graduate School of Frontier Sciences
Date 2005-07-22
Paper # IT2005-49
Volume (vol) vol.105
Number (no) 191
Page pp.pp.-
#Pages 6
Date of Issue