| Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
IEICE-OCS, IEICE-OFT, IEE-CMN, BCT
(Joint) [detail] |
2023-11-09
- 2023-11-10 |
Kyoto |
(Primary: On-site, Secondary: Online) |
Analysis of transmission degradation in orthogonal subcarrier multiplexing systems using the same optical wavelength
Yusuke Mizutani, Yasuyuki Okumura, Masahiro Umehira, Katsuyuki Fujii (Nanzan Univ) |
(To be available after the conference date) [more] |
|
| ENT |
2023-09-16
15:00 |
Online |
|
|
With environmental issues now being a major concern, "rentals" are attracting renewed attention as a resource utilizatio... [more] |
ENT2023-10
pp.10-15 |
| IEICE-MVE, HI, VRSJ, HI-SIG-DeMO, IPSJ-HCI, IPSJ-EC [detail] |
2023-06-01
10:15 |
Tokyo |
Univ. of Tokyo
(Primary: On-site, Secondary: Online) |
Glasses-free XR sharing dialogue system with a sense of real proximity using half-mirrors
Kenta Ogo (NTT) |
Glasses-free XR side by side talking system with a sense of real proximity using half-mirrors.
In order to realize the ... [more] |
|
| AIT, IIEEJ, AS, CG-ARTS |
2023-03-06
13:04 |
Tokyo |
Tokyo Polytechnic Univ. (Nakano)
(Primary: On-site, Secondary: Online) |
An Interactive Visualization of Large 3D Point Cloud Using Hierarchical Structure
Xiaojun Wu, Ryuichi Tanida, Jun Shimamura (NTT) |
Nowadays, 3D point cloud of real buildings, or even a real town, can be
obtained by using LiDAR or such other devices.... [more] |
AIT2023-47
pp.43-46 |
| ME, SIP, TOKAI |
2022-12-07
14:25 |
Aichi |
(Primary: On-site, Secondary: Online) |
Measuring the Number of Vertical Rallies in a Table Tennis Match Video
Shoma Kato, Kito Akira (former AIT), Toru Tamaki (former NIT), Hiroaki Sawano (former AIT) |
It is important to analyze a service in table tennis, and the number of rallies is used as an indicator for the service ... [more] |
ME2022-93 SIP2022-12
pp.31-34 |
| IIEEJ, AIT |
2022-10-31
11:40 |
Online |
on line |
A study of philosophical approach through object analysis and design
Kunio Ohno (Monavis IT) |
Based on intellectual curiosity and giving logicality, object analysis & designmethodology of class definition and its i... [more] |
AIT2022-185
pp.53-56 |
| IEICE-SIP, IEICE-BioX, IEICE-IE, IEICE-MI, IST, ME [detail] |
2022-05-20
14:00 |
Kumamoto |
Kumamoto University
(Primary: On-site, Secondary: Online) |
Hadamard-Coded Supervised Discrete Hashing on Quaternion Domain
Manabu Sueyasu (The Univ. Kitakyushu), Seisuke Kyochi (Kogakuin Univ.), Gou Koutaki (Kumamoto Univ.) |
This paper extends Hadamard-coded supervised discrete hashing on real domain (termed as $mathbb{R}$-HCSDH) using a real-... [more] |
|
| AIT, IIEEJ, AS, CG-ARTS |
2022-03-08
09:54 |
Online |
Online |
Prototyping of a real-time sound effect tool for live streaming with CG avatar
Hikaru Murakami, Akinori Ito (TUT) |
In this study, we created a prototype of a tool that plays sound effects in real time in response to the actions of a CG... [more] |
AIT2022-42
pp.17-20 |
| AIT, IIEEJ, AS, CG-ARTS |
2022-03-08
15:37 |
Online |
Online |
Development of the 3D Polyhedral Display
Naoto Yoshida, Prima Oky Dicky Ardiansyah (Iwate Prefectural Univ.) |
3D spherical displays have been attracting attention as a device for displaying multi-view 3D images. However, these dis... [more] |
AIT2022-85
pp.181-184 |
| AIT, ME, MMS, IEICE-IE, IEICE-ITS [detail] |
2022-02-21
15:20 |
Online |
online |
A Note on Electron Microscope Image Generation from Mix Proportion and Material Property via Generative Adversarial Network for Rubber Materials
Rintaro Yanagi, Ren Togo, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.) |
Estimating the properties of rubber materials from ingredients is necessary to accelerate rubber material development. A... [more] |
MMS2022-27 ME2022-52 AIT2022-27
pp.187-191 |
| AIT, ME, MMS, IEICE-IE, IEICE-ITS [detail] |
2022-02-22
10:30 |
Online |
online |
A Length Controllable Model for Stylized Image Captioning
Chi Zhang, Li Tao, Yamasaki Toshihiko (UTokyo) |
Stylized image captioning aims at generating captions with styles, based on the input images. In this paper, we aim at g... [more] |
|
| AIT, ME, MMS, IEICE-IE, IEICE-ITS [detail] |
2022-02-22
13:00 |
Online |
online |
Tracking System of Bowling Ball Based on Image Processing Using Multiple Cameras
Khoo ShaoChuen, Ryosuke Sakai, Genki Suzuki, Hiroyuki Shioya (Muroran IT) |
This paper presents a tracking system of bowling ball trajectory for sports coaching. First, pitching form videos of the... [more] |
MMS2022-36 ME2022-61 AIT2022-36
pp.389-392 |
| AIT, IIEEJ, AS, CG-ARTS |
2021-03-08
14:15 |
Online |
Online |
Frame-rate dependence of perception in two kinds of illusions about color and shape
-- Application study of the Benham's top and rubber pencil illusions for video expression --
Tomohiko Hayakawa, Himari Tochioka, Yuki Kubota, Ryota Mima, Masatoshi Ishikawa (Univ. of Tokyo) |
The development of visual expressions using optical illusions in CG utilize is progressing. However, there are many illu... [more] |
AIT2021-73
pp.157-160 |
| IEICE-IE, IEICE-ITS, MMS, ME, AIT [detail] |
2021-02-18
14:50 |
Online |
Online |
A Note on Estimation of Deteriorated Regions Based on Anomaly Detection from Rubber Material Electron Microscope Images
-- Verification of Feature Representations Extracted from Deep Learning Models --
Masanao Matsumoto, Ren Togo, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ) |
This paper presents an anomaly detection method for estimation of deteriorated regions from rubber material electron mic... [more] |
MMS2021-9 ME2021-9 AIT2021-9
pp.43-46 |
| IEICE-IE, IEICE-ITS, MMS, ME, AIT [detail] |
2021-02-19
14:15 |
Online |
Online |
[Special Talk]
A Note on Electron Microscope Image Generation from Mix Proportion via Conditional Style Generative Adversarial Network for Rubber Materials
Rintaro Yanagi, Ren Togo, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.) |
Estimating the properties of rubber materials from ingredients is necessary to accelerate rubber material development. I... [more] |
MMS2021-22 ME2021-22 AIT2021-22
pp.171-175 |
| HI, VRPSY |
2020-11-28
12:05 |
Online |
|
Sensitivity differences between color discrimination and supra-threshold color difference along hues.
Yuken Ito, Tomonori Tashiro, Yasuki Yamauchi (Yamagata Univ.), Takehiro Nagai (Tokyo Tech) |
We psychophysically measured sensitivities of color discrimination and supra-threshold color difference perception along... [more] |
HI2020-79
pp.75-78 |
| IEICE-MI, IEICE-IE, IEICE-SIP, IEICE-BioX, IST, ME [detail] |
2020-05-28
09:20 |
Online |
Online |
Effect of Data Allocation between Number of Pixels and Frame Rate for Subjective Quality of Motion Image under a Fixed Data Rate
Yoshitaka Ikeda, Kosuke Nomura, Yuichi Kusakabe (NHK) |
In this study, we conducted a subjective evaluation using a stimulus-comparison method (adjectival categorical judgement... [more] |
IST2020-27 ME2020-78
pp.1-4 |
| IEICE-MI, IEICE-IE, IEICE-SIP, IEICE-BioX, IST, ME [detail] |
2020-05-29
09:30 |
Online |
Online |
Accuracy improvement of instantaneous frequency estimation using variable FIR filter with transmission zeros
Keisuke Takao, Takahiro Natori (TUS), Toma Miyata (Salesian Polytechnic), Naoyuki Aikawa (TUS) |
Frequency estimation of sine wave signals has been studied in a wide range of fields.One of the methods is to use instan... [more] |
|
| HI, IEICE-IE, IEICE-ITS, MMS, ME, AIT [detail] |
2020-02-27
16:20 |
Hokkaido |
Hokkaido Univ.
(Cancelled) |
A Note on Generation of Electron Microscope Images via Auxiliary Classifier Generative Adversarial Network with Mix Proportions
Misaki Kanai, Ren Togo, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.) |
In this paper, we investigate a method for generation of images that represent the internal structure of rubber material... [more] |
MMS2020-21 HI2020-21 ME2020-49 AIT2020-21
pp.107-111 |
| HI, IEICE-IE, IEICE-ITS, MMS, ME, AIT [detail] |
2020-02-27
13:30 |
Hokkaido |
Hokkaido Univ.
(Cancelled) |
Chromatic Aberration Correction of Color Images Using Deep Learning with Each Channel Training Based on Contrast Enhancement
Naoto Nagashima, Mitsuhiko Meguro (Nihon Univ.) |
In this paper, we propose a new correcting method of chromatic aberration occurring in color images using Deep Learning.... [more] |
|