Presentation 2021-03-04
An Efficient Bayes Coding Algorithm for the Source Based on Context Tree Models that Vary from Section to Section
Koshi Shimada, Shota Saito, Toshiyasu Matsushima,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) In this paper, we present an efficient coding algorithm for a non-stationary source based on context tree models that very from section to section. The context tree model is the extension of Markov models, and it represents a wide source model class that each symbol's generation depends on past sequences. The source model we present is an extension of context tree models. The calculation of the Bayes codes for it needs weighted mean over all context tree models and all changing patterns of the models; hence, we provide an approach of reducing the amount of the calculation.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Data compression / Universal source coding / Bayes codes / Context tree models / Non-stationary source
Paper # IT2020-115,ISEC2020-45,WBS2020-34
Date of Issue 2021-02-25 (IT, ISEC, WBS)

Conference Information
Committee WBS / IT / ISEC
Conference Date 2021/3/4(2days)
Place (in Japanese) (See Japanese page)
Place (in English) Online
Topics (in Japanese) (See Japanese page)
Topics (in English) Joint Meeting of WBS, IT, and ISEC
Chair Masanori Hamamura(Kochi Univ. of Tech.) / Tadashi Wadayama(Nagoya Inst. of Tech.) / Shoichi Hirose(Univ. of Fukui)
Vice Chair Takashi Shono(INTEL) / Masahiro Fujii(Utsunomiya Univ.) / Tetsuya Kojima(Tokyo Kosen) / Tetsuya Izu(Fujitsu Labs.) / Noboru Kunihiro(Tsukuba Univ.)
Secretary Takashi Shono(Okayama Univ. of Science) / Masahiro Fujii(National Defence Academy) / Tetsuya Kojima(Yamaguchi Univ.) / Tetsuya Izu(Saga Univ.) / Noboru Kunihiro(Tsukuba Univ.)
Assistant Duong Quang Thang(NAIST) / Masafumi Moriyama(NICT) / Masayuki Kinoshita(Chiba Univ. of Tech.) / Takahiro Ohta(Senshu Univ.) / Kazuki Yoneyama(Ibaraki Univ.)

Paper Information
Registration To Technical Committee on Wideband System / Technical Committee on Information Theory / Technical Committee on Information Security
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) An Efficient Bayes Coding Algorithm for the Source Based on Context Tree Models that Vary from Section to Section
Sub Title (in English)
Keyword(1) Data compression
Keyword(2) Universal source coding
Keyword(3) Bayes codes
Keyword(4) Context tree models
Keyword(5) Non-stationary source
1st Author's Name Koshi Shimada
1st Author's Affiliation Waseda University(Waseda Univ.)
2nd Author's Name Shota Saito
2nd Author's Affiliation Waseda University(Waseda Univ.)
3rd Author's Name Toshiyasu Matsushima
3rd Author's Affiliation Waseda University(Waseda Univ.)
Date 2021-03-04
Paper # IT2020-115,ISEC2020-45,WBS2020-34
Volume (vol) vol.120
Number (no) IT-410,ISEC-411,WBS-412
Page pp.pp.19-24(IT), pp.19-24(ISEC), pp.19-24(WBS),
#Pages 6
Date of Issue 2021-02-25 (IT, ISEC, WBS)