Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
IE, IMQ, MVE, CQ (Joint) [detail] |
2020-03-06 09:45 |
Fukuoka |
Kyushu Institute of Technology (Cancelled but technical report was issued) |
Consideration of the relationship between brain function and physiological measurement and preference in HDTV images Koki Buyo, Yuya Umawatari, Shuhei Kishida, Yohei Ochiai, Yuuko Horita (Univ. of Toyama) IMQ2019-30 IE2019-112 MVE2019-51 |
The digital contents around us are evolving into high-definition systems, as seen from the development of broadcasting i... [more] |
IMQ2019-30 IE2019-112 MVE2019-51 pp.77-80 |
SP, EA, SIP |
2020-03-03 09:00 |
Okinawa |
Okinawa Industry Support Center (Cancelled but technical report was issued) |
[Poster Presentation]
Multi-scale graph construction method for graph signal coding with SPIHT algorithm Kosuke Abe, Yuichi Tanaka (TUAT) EA2019-151 SIP2019-153 SP2019-100 |
Set Partitioning In Hierarchical Trees (SPIHT) is an efficient wavelet-based image coding method. It is designed for pro... [more] |
EA2019-151 SIP2019-153 SP2019-100 pp.289-294 |
MI |
2019-01-22 14:35 |
Okinawa |
|
Research on macular analysis based on OCT angiography image analysis Shinnosuke Yamaoka, Shinya Fukumoto, Masayuki Kashima, Kiminori Sato, Mutsumi Watanabe, Hideki Shiihara, Syozo Sonoda, Taiji Sakamoto (Kagoshima Univ.) MI2018-81 |
The purpose of this study is to ascertain whether the complexity of the shape of macular region obtained from OCT angiog... [more] |
MI2018-81 pp.87-92 |
SIP, EA, SP, MI (Joint) [detail] |
2018-03-19 13:00 |
Okinawa |
|
[Poster Presentation]
Investigation of Brain Magnetic Fields Associated with Sound Imagery
-- Speech and Pure Tone with Similar Envelopes -- Shihomi Uzawa (Kobe Univ./AIST), Tetsuya Takiguchi, Yasuo Ariki (Kobe Univ.), Yoshiharu Soeta (AIST), Seiji Nakagawa (Chiba Univ./AIST) EA2017-115 SIP2017-124 SP2017-98 |
Brain computer interface (BCI) technologies, which enable direct communication between the brain and external devices, h... [more] |
EA2017-115 SIP2017-124 SP2017-98 pp.81-86 |
SP |
2017-08-30 11:00 |
Kyoto |
Kyoto Univ. |
[Poster Presentation]
Discrimination and Feature Estimation of Brain Magnetic Field Data Associated with Japanese Speech Sound Imagery Shihomi Uzawa (Kobe Univ./AIST), Tetsuya Takiguchi, Yasuo Ariki (Kobe Univ.), Seiji Nakagawa (Chiba Univ./AIST) SP2017-28 |
Brain computer interface (BCI) technologies, which enable direct communication between the brain and external devices, h... [more] |
SP2017-28 pp.39-43 |
EA, ASJ-H |
2016-08-10 10:00 |
Miyagi |
Tohoku Gakuin Univ., Tagajo Campus |
The Methods to Denoize the Fetal Heart Doppler Sound Obtained by Ultrasound Cardiograph Using Wavelet Analysis Chikahiro Araki (Univ. of Fukui), Mikio Mori, Tatsuya Asai, Chiyo Tamamura, Nozomu Takahashi, Kouji Nishijima, Yoshio Yoshida (niv. of Fukui) |
The technique of analyzing Fetal Heart Rate (FHR) variability has been known to be effective to diagnose the fetal healt... [more] |
EA2016-25 pp.31-36 |
PRMU, MI, IE, SIP |
2014-05-23 15:20 |
Aichi |
|
Depth Map Denoising Using Collaborative Graph Wavelet Shrinkage on Connected Image Patches Yuki Iizuka, Yuichi Tanaka (Tokyo Univ. of Agriculture and Tech.) SIP2014-20 IE2014-20 PRMU2014-20 MI2014-20 |
In this paper, we propose a new patch-based image denoising algorithm using graph signal processing.
The concept of thi... [more] |
SIP2014-20 IE2014-20 PRMU2014-20 MI2014-20 pp.107-112 |
IE |
2010-04-26 16:05 |
Tochigi |
|
A Study on a Graphical Password Using Wavelet Transform Takao Miyachi, Yuichi Tanaka, Madoka Hasegawa, Shigeo Kato (Utsunomiya Univ.) IE2010-12 |
Although entering user name and textual password are a major method for user authentication at the present time, it is n... [more] |
IE2010-12 pp.67-72 |
NLP |
2010-03-09 14:25 |
Tokyo |
|
Micro-process of phase-locking for generating the auditory evoked fields
-- Analysis of the phase-locking within each of the trials and across the trials -- Takashi Hamada (AIST) NLP2009-168 |
Neuromagnetic signals above the auditory cortex were passed through a band-pass filter between 3 and 16 Hz and then divi... [more] |
NLP2009-168 pp.59-63 |