Presentation 2015-03-02
A Study of Two-dimensional Antidictionary Coding Using Automata
Takahiro OTA, Hiroyoshi MORITA,
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Abstract(in English) In one dimension, for an input string, an antidictionary is the set of all the minimal strings which do not appear in the input string. An antidictionary automaton, which is constructed from a subset of the antidictionary, is an encoder the antidictionary coding. An antidictionary automaton is useful for reducing computation time of coding and improving compression ratio since it is utilized as probabilistic model for entropy coding. In two dimension, for an input rectangle, an antidictionary is the set of all the minimal rectangles which do not appear in the input rectangle. An fundamental two-dimensional antidictionary coding has been proposed. However, an antidictionary automaton for two-dimensional antidictionary coding is not presented. In this paper, we propose a two-dimensional antidictionary automaton and a new antidictionary coding based on two-dimensional antidictionary automaton.
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Keyword(in English) antidictionary coding / probabilistic model / automaton / computation complexity / two dimension (2D)
Paper # IT2014-78,ISEC2014-91,WBS2014-70
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Committee ISEC
Conference Date 2015/2/23(1days)
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Registration To Information Security (ISEC)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) A Study of Two-dimensional Antidictionary Coding Using Automata
Sub Title (in English)
Keyword(1) antidictionary coding
Keyword(2) probabilistic model
Keyword(3) automaton
Keyword(4) computation complexity
Keyword(5) two dimension (2D)
1st Author's Name Takahiro OTA
1st Author's Affiliation Department of Computer & Systems Engineering, Nagano Prefectural Institute of Technology()
2nd Author's Name Hiroyoshi MORITA
2nd Author's Affiliation Graduate School of Information Systems, University of Electro-Communications
Date 2015-03-02
Paper # IT2014-78,ISEC2014-91,WBS2014-70
Volume (vol) vol.114
Number (no) 471
Page pp.pp.-
#Pages 7
Date of Issue