KAWAMURA Masaki

J-GLOBAL         Last updated: Nov 1, 2019 at 16:49
 
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Name
KAWAMURA Masaki
E-mail
m.kawamuyamaguchi-u.ac.jp
URL
http://www.is.sci.yamaguchi-u.ac.jp/Japanese/
Affiliation
Yamaguchi University
Degree
Dr.Eng.(University of Tsukuba), Master in Engineering(University of Tsukuba)
Research funding number
60314796
ORCID ID
0000-0001-8189-4672

Research Areas

 
 

Academic & Professional Experience

 
Apr 2017
 - 
Today
associate professor, Graduate School of Sciences and Technology for Innovation, Yamaguchi University
 
Oct 2011
 - 
Mar 2017
associate professor, Graduate School of Science and Engineering, Yamaguchi University
 
Apr 2006
 - 
Sep 2011
associate professor/lecturer, Graduate School of Science and Engineering, Yamaguchi University
 
Oct 2003
 - 
Mar 2006
associate professor/lecturer, Faculty of Science, Yamaguchi University
 
Apr 1999
 - 
Sep 2003
Assistant Professor, Faculty of Science, Yamaguchi University
 

Education

 
Apr 1994
 - 
Mar 2006
University of Tsukuba
 
Apr 1990
 - 
Mar 1994
College of Information Science, Third Cluster of College, University of Tsukuba
 
Apr 1996
 - 
Mar 1999
Graduate School, Division of Engineering, University of Tsukuba
 

Committee Memberships

 
Jun 2019
 - 
Today
IEICE  Technical Committee of Enriched Multimedia, Chair
 
Apr 2011
 - 
Today
IEICE  Technical Committee of Enriched Multimedia, member
 
Nov 2005
 - 
Today
IEICE  Editorial Committee of the IEICE Transactions, Reviewer
 
Jun 2015
 - 
May 2017
IEICE  Technical Committee on Enriched Multimedia, Vice Chair
 
Jan 2015
 - 
Mar 2017
IWDW 2015 Organizing Committee
 
May 2013
 - 
Jun 2014
IEICE  Technical Committee on Enriched Multimedia, Secretary
 
May 2012
 - 
May 2013
IEICE  Technical Committee on Enriched Multimedia, Secretary Assistant
 
May 2009
 - 
May 2013
IEICE  editorial board member, IEICE Transaction on Fundamentals (EA)
 
2007
 - 
2007
JNNS  editorial board member
 
2005
 - 
2005
JNNS  editorial board member
 

Awards & Honors

 
2017
ISS Achievement Award, IEICE
 
2003
Encouraging prize, 15th workshop of circuits and system
Winner: Masaki Kawamura
 

Published Papers

 
HAMAMOTO Ippei, KAWAMURA Masaki
IEICE Transactions on Information and Systems   E103(1)    Jan 2020   [Refereed]
We have developed a digital watermarkingmethod that use neural networks to learn embedding and extrac-tion processes that are robust against rotation and JPEG com-pression. The proposed neural networks consist of a stego-imagegenerator, a watermar...
Masaki Kawamura, Kao Hayashi, Tatsuya Uezu, and Masato Okada
PHYSICAL REVIEW E   99 062132   Jun 2019   [Refereed]
In cases in which an original image is blind, a decoding method where both the image and the messages can be estimated simultaneously is desirable. We propose a spread spectrum watermarking model with image restoration based on Bayes estimation. W...
Ippei Hamamoto, Masaki Kawamura
IEICE Transactions on Information and Systems   E102-D(1) 19-30   Jan 2019   [Refereed]
An autoencoder has the potential ability to compress and decompress
information. In this work, we consider the process of generating a
stego-image from an original image and watermarks as compression, and
the process of recovering the original ...
E100-D(1) 13-23   Jan 2017   [Refereed]
IEICE Transactions on Information and Systems   E100-D(1) 2-12   Jan 2017   [Refereed][Invited]
Within information hiding technology, digital watermark-&0a;ing is one of the most important technologies for copyright protection of&0a;digital content. Many digital watermarking schemes have been proposed in&0a;academia. However, these schemes a...
Takahiro YAMAMOTO, Masaki KAWAMURA
IEICE TRANSACTIONS on Information and Systems   E98-D(7) 1306-1315   Jul 2015   [Refereed]
We propose a method of spread spectrum digital watermarking with quantization index modulation (QIM) and evaluate the method on the basis of IHC evaluation criteria. The spread spectrum technique can make watermarks robust by using spread codes. S...
Nao Teranishi, Masaki Kawamura
J96-A(7) 452-461   Jul 2013   [Refereed]
We propose some decoders introducing asynchronous dynamics and&0a; stochastic algorithms for spread spectrum model. The&0a; existing decoding algorithm based on Bayes' estimation is a synchronous&0a; deterministic one. By using asynchronous dynam...
Kentaro Katahira, Masaki Kawamura, Kazuo Okanoya, Masato Okada
Journal of the Physical Society of Japan   76(4) 044804   Apr 2007   [Refereed]
Masaki Kawamura, Masato Okada
Journal of the Physical Society of Japan   75(12) 124603   Dec 2006   [Refereed]
Seiko ISHIKAWA, Masaki KAWAMURA
IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences   Vol.J89-A(10) 765-773   Oct 2006   [Refereed]
Kenichi HASHIGUCHI, Masaki KAWAMURA
IEICE TRANSACTIONS on Information and Systems   Vol.J89-D(9) 2123-2133   Sep 2006   [Refereed]
Masaki Kawamura, Michiko Yamana, Masato Okada
Journal of the Physical Society of Japan   74(11) 2961-2965   Nov 2005   [Refereed]
Masaki Kawamura, Ryuji Tokunaga, Masato Okada
Physical Review E   70(4) 046210   Oct 2004   [Refereed]
Kazushi Mimura, Masaki Kawamura, Masato Okada
Journal of Physics A: Mathematical and General   37(25) 6437-6454   Jun 2004   [Refereed]
Masaki Kawamura, Masato Okada
Europhysics Letters   62(5) 657-663   Jun 2003   [Refereed]
Eiji Uchino, Masaki Kawamura, Kazuhiro Nagata
Journal of Japan Society Fuzzy Theory and Systems   14(2) 157-167   Apr 2002   [Refereed]
Masaki Kawamura, Masato Okada
Journal of Physics A: Mathematical and General   35 253-266   Jan 2002   [Refereed]
Masaki KAWAMURA, Masato OKADA
IEICE   J84-D-II(10) 2302-2311   Oct 2001   [Refereed]
Masaki Kawamura, Masato Okada, and Yuzo Hirai
IEEE Transaction on Neural Networks   10(3) 704-713   May 1999   [Refereed]
Masaki Kawamura, Yuzo Hirai
Systems and Computers in Japan   28(1) 24-33   Jan 1997   [Refereed]
Masaki Kawamura, Yuzo Hirai
J78-D-II(11) 1692-1700   Nov 1995

Misc

 
Masaki Kawamura, Kouta Uchida
Smart Innovation, Systems and Technologies   81 381-389   2018   [Refereed]
We propose a watermarking method using scale-invariant feature transform (SIFT) features that have both scale and rotation invariance, and evaluate our method in accordance with the information hiding criteria (IHC) ver. 5. It is defined as evalua...
Nobuhiro Hirata, Masaki Kawamura
Digital-Forensics and Watermarking. IWDW 2015. Lecture Notes in Computer Science   9569 259-270   Apr 2016   [Refereed]
We proposed a watermarking method using a concatenated code and evaluated the method on the basis of IHC evaluation criteria. The criteria include JPEG compression, clipping, scaling, and rotation as attacks. For the robustness of messages, we int...
Kazuhiro Senda, Masaki Kawamura
Lecture Notes in Computer Science   5973 231-247   Oct 2010   [Refereed]
Atsuko Goto, Masaki Kawamura
Lecture Notes in Computer Science - Neural Information Processing, Springer Berlin / Heidelberg   4984 733-741   Jun 2008   [Refereed]

Books etc

 
Network server construction guide: CentOS 7 Rev. 1804
Network server construction group (Part:Joint Work, Chap. 4,13,19,20)
Shuwa System Co.   Sep 2018   ISBN:978-4-7980-5515-2
Loto-Numbers probability seminar
KAWAMURA Masaki, Nozaki Takayuki (Part:Joint Work)
Shufunotomo Infos Co.,LTD.   Mar 2017   
Network server construction guide: CentOS 7
Network server construction group (Part:Joint Work)
Shuwa System   Mar 2015   ISBN:9784798043593
Network server construction guide: CentOS 6
Network server construction group (Part:Joint Work)
Shuwa System   Feb 2012   ISBN:9784798032481
Network server construction guide: CentOS 5
Network server construction group (Part:Joint Work)
Shuwa System   Feb 2008   ISBN:9784798018980

Conference Activities & Talks

 
R Hayashi, T. Uezu, M. Kawamura
2019 Annual Meeting of JPS   14 Mar 2019   Physical Society of Japan
Akinobu Oshikawa, Masaki Kawamura
IEICE Tech. Rep., EMM   13 Mar 2019   IEICE
We proposed a digital watermarking method using an auto-associative memory model (AMM), which can correct errors of watermarks inside a basin of attraction of the model. 
In the conventional watermarking methods, messages are encoded to watermarks...
Ippei Hamamoto, Masaki Kawamura
IEICE Tech. Rep., EMM   13 Mar 2019   IEICE
We propose a digital watermarking method using neural networks, which can learn robust embedding and extraction processes against rotation and JPEG compression. 
The proposed neural networks consist of a stego-image generator, a watermark extracto...
Masato Hayashi, Masaki Kawamura
IEICE Tech. Rep., EMM   10 Jan 2019   IEICE
Digital watermarks can be embedded around SIFT feature points which have invariance of geometric transform. When an image is rotated, marked regions in the image are also rotated. Therefore, in order to extract the watermarks, it is necessary to e...
Yuki Shimana, Masaki Kawamura
IEICE Tech. Rep., EMM   10 Jan 2019   IEICE
Zero-watermarking method is a watermarking method which do not embed a watermark into an image.
Thus, the quality of the original image is not degraded at all.
In this method, an image is associated with a watermark information.
Therefore, when...
Masato Hayashi, Masaki Kawamura
APSIPA ASC 2018   15 Nov 2018   APSIPA
The current scale-invariant feature transform (SIFT) feature-based
watermarking method proposed by Kawamura and Uchida was evaluated using
Information Hiding Criteria (IHC) ver. 5. The marked regions were
selected around the SIFT feature points th...
Kao Hayashi, Tatsuya Uezu, Masaki Kawamura
Autumn Meeting 2018, JPSJ   9 Sep 2018   The Physical Society of Japan
Ippei Hamamoto, Masaki Kawamura
IEICE Tech. Rep.   5 Mar 2018   IEICE
We proposed an embedder, i.e., an embedding method using a layered neural network. The discrete cosine transform (DCT) coefficients of stego-images and watermarks are represented in stego-layer (3rd layer) and output layer (5th layer), respectivel...
Masato Hayashi, Masaki Kawamura
IEICE Tech. Rep.   5 Mar 2018   IEICE
The method of Uchida and Kawamura, which uses SIFT feature points, has two problems. 
One is that the pixel values of the feature points are overwritten in the embedding process, since the points are located in the center of the embedding regions....
Ippei Hamamoto, KAWAMURA Masaki
IEICE Tech. Rep.   6 Nov 2017   IEICE
We propose a digital watermarking method by encoder using a neural network.The learned neural network can perform as both an encoder from an original image and a watermark to a stego-image, and a decoder from the stego-image to the watermark. The ...

Teaching Experience

 

Research Grants & Projects

 
Project Year: Apr 2016 - Mar 2020    Investigator(s): KAWAMURA Masaki
Faculty of Science, Yamaguchi Univ.: Research Grant for Step up Research
Project Year: Jun 2016 - Mar 2017    Investigator(s): Masaki Kawamura
Project Year: Apr 2013 - Mar 2015    Investigator(s): KAWAMURA Masaki
YAMAGUCHI UNIVERSITY FOUNDATION: Research Grant
Project Year: Jun 2012 - Apr 2013    Investigator(s): Masaki Kawamura
Project Year: Apr 2009 - Mar 2012    Investigator(s): KAWAMURA Masaki