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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 23  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
NC, MBE, NLP, MICT
(Joint) [detail]
2024-01-24
10:00
Tokushima Naruto University of Education Hierarchical lossless compression of high dynamic range images using predictors based on cellular neural networks
Seiya Kushi, Kazuki Nakashima, Hideharu Toda (Chukyo Univ.), Tsuyoshi Otake (Tamagawa Univ.), Hisashi Aomori (Chukyo Univ.) NLP2023-85 MICT2023-40 MBE2023-31
We have been developing a scalable lossless coding method using cellular neural networks (CNN) as predictors. This metho... [more] NLP2023-85 MICT2023-40 MBE2023-31
pp.12-15
CAS, NLP 2022-10-20
14:55
Niigata
(Primary: On-site, Secondary: Online)
Hierarchical Lossless Coding with Arithmetic Coders for Each CNN Predictor
Kazuki Nakashima, Ryo Nakazawa, Hideharu Toda, Hisashi Aomori (Chukyo Univ.), Tsuyoshi Otake (Tamagawa Univ.), Ichiro Matsuda, Susumu Itoh (TUS) CAS2022-23 NLP2022-43
We have been developing a scalable lossless coding method using the cellular neural networks (CNN) as predictors.
This ... [more]
CAS2022-23 NLP2022-43
pp.20-24
RCS, SR, SRW
(Joint)
2013-02-27
11:10
Tokyo Waseda Univ. Open-Loop Homographic Precoding (OLHP) -- A Method for Seamless (Interference-Free) Multiuser Transmission in Wireless SISO/MIMO Systems With No Channel State Information At The Transmitter (CSIT) --
Oussama Souihli, Yasuyuki Hatakawa, Satoshi Konishi (KDDI R&D Labs) RCS2012-290
In linguistics, homographs are words of like spelling and different meanings. Thus, in English, the word "bear" could me... [more] RCS2012-290
pp.37-42
MoNA, IE, ITE-CE, ITE-ME, IPSJ-AVM
(Joint) [detail]
2012-07-19
16:15
Ibaraki University Hall, University of Tsukuba Fast Multiplication-based Implementation of Binary Arithmetic Coding Using Source Expansion
Shota Kanahara, Madoka Hasegawa, Shigeo Kato (Utsunomiya Univ.) MoMuC2012-16 IE2012-41
The arithmetic coding is known as a highly efficient entropy coding. However, the arithmetic coding process is time-cons... [more] MoMuC2012-16 IE2012-41
pp.31-36
ISEC, LOIS 2011-11-15
16:05
Osaka Osaka Electro-Communication University On the Insecurity of Randomized Arithmetic Codes Based on Markov Model
Liang Zhao, Takashi Nishide (Kyushu Univ.), Avishek Adhikari (Univ. of Calcutta), Kyung-Hyune Rhee (Pukyong National Univ.), Kouichi Sakurai (Kyushu Univ.) ISEC2011-61 LOIS2011-55
An improvement of arithmetic coding (AC) has been proposed in the paper (Communications in Nonlinear Science and Numeric... [more] ISEC2011-61 LOIS2011-55
pp.181-188
ITE-ME, ITE-AIT, IE [detail] 2011-11-11
10:15
Fukuoka   A Fundamental Study on Arithmetic Coding of Motion Vectors Using Multi-Peaked Probability Models
Yuya Itoh, Hisashi Aomori, Ichiro Matsuda, Susumu Itoh (Tokyo Univ. of Science) IE2011-80
In modern video coding schemes, as techniques of motion compensated prediction are highly developed,efficient coding of ... [more] IE2011-80
pp.19-24
ISEC, IT, WBS 2011-03-04
09:00
Osaka Osaka University An improved PPM* Algorithm based on the Minimal Expected Codeword Length and Switching Escape Probability Estimation
Keita Tomokuni, Hirosuke Yamamoto (Univ. of Tokyo) IT2010-104 ISEC2010-108 WBS2010-83
For the PPM data compression algorithm, several methods have been proposed to estimate the ESC probability, where ESC re... [more] IT2010-104 ISEC2010-108 WBS2010-83
pp.235-242
IT 2010-07-22
10:15
Tokyo Kogakuin University Data compression based on the Optimal Context Determined by the Minimal Expected Codeword Length in a Suffix Tree
Keita Tomokuni, Hirosuke Yamamoto (Univ. of Tokyo) IT2010-12
In this paper, we consider a data compression method, which encodes each byte of data by using
a suffix tree. In the s... [more]
IT2010-12
pp.7-12
IE 2010-03-15
17:20
Miyagi RIEC Bldg. #2, 4gh Floor, Tohoku Univ. Lossless Re-encoding of MPEG-1 Video with Quarter-Pel Motion Compensation
Kei Wakabayashi, Hisashi Aomori, Ichiro Matsuda, Susumu Itoh (Tokyo Univ. of Science), Sei Naito, Shigeyuki Sakazawa (KDDI R&D Lab.) IE2009-196
We are developing an efficient lossless re-encoding scheme for video data which are already encoded by the MPEG-1 video ... [more] IE2009-196
pp.97-102
NC, MBE
(Joint)
2010-03-11
15:00
Tokyo Tamagawa University Frequent String Detection by Variable Length Coding
Hayato Okamoto, Masato Inoue (Waseda Univ.) NC2009-170
Extracting frequently-appearing subsequences from genome DNA sequences or amino-acid sequences of proteins of various sp... [more] NC2009-170
pp.485-489
MVE, IE 2009-07-23
15:30
Shimane Matsue Terrsa Lossless Re-encoding of MPEG-1 Video Using Arithmetic Codes
Yu Ikeda, Kei Wakabayashi, Hisashi Aomori, Ichiro Matsuda, Susumu Itoh (Tokyo Univ. of Science), Sei Naito, Shigeyuki Sakazawa (KDDI R&D Lab.) IE2009-52 MVE2009-27
This paper proposes a lossless re-encoding scheme for video data which are already encoded by the MPEG-1 video coding st... [more] IE2009-52 MVE2009-27
pp.19-24
IT 2008-10-07
15:50
Tochigi Asaya Hotel(Kinugawa Onsen) [Invited Talk] Practical Lossless Source Coding Which Achieves the Entropy Rate -- Focused on Recent Topics on Statistical Modeling for Arithmetic Codes --
Hiroyoshi Morita (Univ. Electro-Commun.) IT2008-41
Arithmetic coding in the development of source coding brought a big change in how to build a probabilistic model for sou... [more] IT2008-41
pp.13-22
IT 2008-07-25
10:50
Chiba University of Tokyo, Kashiwa Campus Delay of Symbols Obeying Poisson Arrival on Communication System by Arithmetic Code
Mikihiko Nishiara (Shinshu Univ.), Tatsunori Sugihara (Toyoda Gosei) IT2008-18
We consider the delay of symbols that are obtained
from an i.i.d.\ source with the timing of Poisson arrival.
The code... [more]
IT2008-18
pp.13-16
SIP, IE 2008-04-17
10:55
Tokyo Kikai-Shinko-Kaikan Bldg. Near-lossless Video Coding Based on Multi-frame Motion Compensation and Adaptive 3D Prediction
Tomohiro Miura, Ichiro Matsuda, Susumu Itoh (Tokyo University of Science) SIP2008-5 IE2008-5
This paper describes a near-lossless video coding scheme based on motion compensation and block-adaptive 3D prediction. ... [more] SIP2008-5 IE2008-5
pp.25-30
ISEC, IT, WBS 2008-02-29
13:25
Tokyo   Sliding Window Variation of Antidictionary Data Compression
Takahiro Ota (PIT-nagano), Hiroyoshi Morita (UEC) IT2007-68 ISEC2007-165 WBS2007-99
An antidictionary is the set of all minimal strings that never appear in an input string, and efficient adaptive data co... [more] IT2007-68 ISEC2007-165 WBS2007-99
pp.127-132
EA, SIP 2007-05-24
15:40
Osaka Osaka Univ. Estimation of the Number of Poles in a Signal Generation Model of Audio Signals and its Application to Pitch Control
Naoki Koshikawa, Takahiro Murakami, Toshihisa Tanaka (TUAT) EA2007-14 SIP2007-18
An algorithm for estimating the number of poles used in linear predictive coding (LPC) is presented.
LPC is commonly us... [more]
EA2007-14 SIP2007-18
pp.43-47
IE 2007-03-19
11:00
Aichi   Near-Lossless Coding of Still Images Using Block-Adaptive Prediction
Kazuya Takahashi, Nau Ozaki, Ichiro Matsuda, Susumu Itoh (Tokyo Univ. of Science), Sei Naito, Atsushi Koike (KDDI R&D Labs.)
This paper proposes a near-lossless coding scheme using block-adaptive prediction for still images. The scheme employs a... [more] IE2006-278
pp.17-22
WBS, IT, ISEC 2006-03-16
09:20
Aichi Nagoya Univ. Data Compression Using Source Model Based on Antidictionary Tree
Takahiro Ota (Pit-Nagano), Hiroyoshi Morita (UEC)
Data compression method using source model based on the automaton used antidictionary coding is proposed. However, the a... [more] IT2005-87 ISEC2005-144 WBS2005-101
pp.135-140
WBS, IT, ISEC 2006-03-16
10:45
Aichi Nagoya Univ. On stochastic model for generating process of codewords of arithmetic code
Dai Watanabe, Mikihiko Nishiara, Hiroyoshi Morita (UEC)
Using the arithmetic code, a prefix of codeword can be determined from
a prefix of source sequence.
In this report, we... [more]
IT2005-90 ISEC2005-147 WBS2005-104
pp.153-158
IE 2005-11-25
09:25
Miyazaki   Automatic Setting of Coding Parameters for the Lossless Image Coding Using Block-Adaptive Prediction
Nau Ozaki, Ichiro Matsuda, Kazuyuki Morioka, Susumu Itoh (Tokyo Univ. of Science)
We have been developing an efficient lossless coding scheme using predictors and arithmetic code optimized for each imag... [more]
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