| Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
| IIEEJ, AIT |
2025-07-01
10:50 |
Nagano |
(Primary: On-site, Secondary: Online) |
A Preliminary Study for Quantitative Evaluation of Cataract Progression Using Fusion of Two Directional Illumination Images
Sugimoto Hikaru, Kiyoshi Tanaka (Shinshu Univ.), Yoshiki Tanaka (Chukyo Eye Clinic), Sho Yokoyama (Chukyo Hospital), Kei Ichikawa (Chukyo Eye Clinic/Aoyama General Hospital), Kazuo Ichikawa (Chukyo Eye Clinic) |
(To be available after the conference date) [more] |
AIT2025-180
pp.51-54 |
| IST, ME, IEICE-IE, IEICE-BioX, IEICE-SIP, IEICE-MI [detail] |
2025-06-06
15:00 |
Ishikawa |
|
Dual-Layer Lossless Coding of Radiance HDR Images Using Quadratic Regression-Based Mantissa Estimation
Keito Kaminaga, Soma Yokota, Taizo Suzuki (Univ. of Tsukuba) |
In this study, we propose a dual-layer lossless coding method of Radiance HDR images (HDR images) using a quadratic regr... [more] |
|
| IST |
2025-03-21
10:45 |
Tokyo |
Kikai-Shinko-Kaikan Bldg.
(Primary: On-site, Secondary: Online) |
Defense Method Against Adversarial Example Attacks using Thermal Noise of a CMOS Image Sensor
Yuki Rogi, Kota Yoshida, Tatsuya Oyama, Takeshi Fujino, Shunsuke Okura (Ritsumeikan Univ.) |
With the rise of IoT technology, edge AI has become increasingly important, but it is vulnerable to adversarial example ... [more] |
IST2025-10
pp.5-6 |
| IST |
2025-03-21
11:05 |
Tokyo |
Kikai-Shinko-Kaikan Bldg.
(Primary: On-site, Secondary: Online) |
Lightweight Object Detection Model for a CMOS Image Sensor with Binary Feature Extraction
Keiichiro Kuroda, Yudai Morikaku, Yu Osuka, Ryoya Ieagaki, Kota Yoshida, Shunsuke Okura (Ritumeikan Univ) |
For the coming of IoT age, we have proposed an object detection system using a CMOS image sensor with binary feature ext... [more] |
IST2025-11
pp.7-8 |
| IEICE-HIP, HI, VRPSY [detail] |
2025-02-19
13:30 |
Ehime |
UNIVERSITY OF HUMAN ENVIRONMENTS |
hight and width estimation of raw images without header
Masaki Emoto (ous) |
Image files such as .jpg, .tiff include image parameters (e.g., width, hight) in their file header. The header is read f... [more] |
HI2025-1
pp.1-2 |
| ME, AIT, MMS, IEICE-IE, IEICE-ITS, SIP [detail] |
2025-02-18
16:10 |
Hokkaido |
Hokkaido Univ. |
Experimental Discussion on the Attention Mechanism of HEVC and 3D CG Images Using Vision Transformer
Norifumi Kawabata (Computational Imaging Lab) |
It is important to create media content based on a preliminary understanding of what people pay attention to and what th... [more] |
MMS2025-19 ME2025-19 AIT2025-19 SIP2025-19
pp.96-101 |
| KANSAI |
2024-12-22
10:15 |
Osaka |
Osaka Metropolitan University, I-site Namba |
Measurement system of surgical instrument operation by assistants in robot-assisted surgery
Taku Watanabe, Kayo Yoshimoto, Hiroshi Noguchi (Osaka Metropolitan Univ.), Hideya Takahashi (RealImage) |
In recent years, robotic surgery systems that allow surgeons to perform procedures while viewing 3D images have been int... [more] |
|
| IST |
2024-11-08
13:40 |
Tokyo |
Morito Mem. Hall
(Primary: On-site, Secondary: Online) |
[Invited Talk]
Deep compressive sensing with coded image sensor
Michitaka Yoshida (JSPS), Daisuke Hayashi, Lioe De Xing, Keita Yasutomi, Shoji Kawahito, Keiichiro Kagawa (Shizuoka Univ.), Hajime Nagahara (Osaka Univ.) |
In this paper, we introduce a method of compressed sensing using coded CMOS sensors and the concept of deep sensing. By ... [more] |
IST2024-56
pp.20-24 |
| SIP, IPSJ-SI |
2024-11-01
10:40 |
Hokkaido |
KITAMI INSTITUTE OF TECHNOLOGY |
Ball release detection for timing ability assessment
Shota Fukuda, Shingo Aoki, Dan Mikami (Kogakuin Univ.) |
This study aims to detect accurate release timing from video information. Timing ability is important in baseball hittin... [more] |
SIP2024-9
pp.1-5 |
| IEICE-SIS, BCT |
2024-10-04
14:40 |
Hokkaido |
Hokusei Gakuen Univ.
(Primary: On-site, Secondary: Online) |
A Proposal of Labeling-and-DUDE-based Denoising Method for Binary Image
Masato Tada, Ayaka Fujita, Noriaki Suetake (Yamaguchi Univ.) |
Since the loss of information due to noise in binary images is larger than that of grayscale or color images, accurate d... [more] |
|
| ME, IEICE-EMM, IEICE-IE, IEICE-LOIS, IEE-CMN, IPSJ-AVM [detail] |
2024-09-05
16:30 |
Hiroshima |
Hiroshima Institute of Technology
(Primary: On-site, Secondary: Online) |
Proposal of an Emotion Recognition System for Improving Video Viewing Experience of Visually Impaired Individuals
Zhiyuan Ning, Hiroyuki Nakamura (S.I.T) |
The rapid growth of short video platforms like TikTok has highlighted the need for improved accessibility for visually i... [more] |
ME2024-86
pp.37-40 |
| IIEEJ, AIT |
2024-06-05
11:10 |
Tokyo |
Tokyo Information Design Professional University
(Primary: On-site, Secondary: Online) |
A Study on Tracking Users Indoors
Daiki Tomita, Sota Masaki, Hiroshi Horiba, Yao Bao (Tokyo City Univ.) |
In contemporary architectural design, user activities are of great importance. It is common for the design of furniture ... [more] |
AIT2024-145
pp.13-16 |
| IIEEJ, AIT |
2024-06-05
15:00 |
Tokyo |
Tokyo Information Design Professional University
(Primary: On-site, Secondary: Online) |
A Study on Posture Identification for Piano Learning Using Machine Learning
Yuki Michisita, Yao Bao (Tokyo City Univ.) |
The piano is a well-known instrument throughout the world, and the posture in which one plays affects one's progress on ... [more] |
AIT2024-150
pp.33-36 |
| IIEEJ, AIT |
2024-06-05
15:20 |
Tokyo |
Tokyo Information Design Professional University
(Primary: On-site, Secondary: Online) |
A Study on command recognition using mouth shape using machine learning
Ryotaro Tanaka, Yao Bao (Tokyo City Univ.) |
Conventional approaches for device control using lip movements require registering video samples of lip movements, burde... [more] |
AIT2024-151
pp.37-40 |
| HI |
2024-03-19
15:20 |
Online |
|
Verification of an Efficient Model for Real-Time 4x Video Super-Resolution
Junichi Nakajima, Shinji Fukatsu (NTT) |
We investigated a re-parameterization method for x4 super-resolution processing to improve image quality while maintaini... [more] |
HI2024-27
pp.56-59 |
| AIT, IIEEJ, AS, CG-ARTS |
2024-03-05
15:16 |
Tokyo |
Tokyo University of Technology |
A Fundamental Study on 3D CG Image Quality Assessment in Vision & Language Based on Stable Diffusion
Norifumi Kawabata (Kanazawa Gakuin Univ.) |
GPT-4, which is a multimodal large-scale language model, was released on March 14, 2023. GPT-4 is equipped with Transfor... [more] |
AIT2024-115
pp.288-291 |
| AIT, IIEEJ, AS, CG-ARTS |
2024-03-05
14:30 |
Tokyo |
Tokyo University of Technology |
Proposal of a Method for Extracting Scoring Display Scenes in a Broadcast Ball Game Video
Naoya Inagaki, Takeshi Masuda, Hiroaki Sawano (AIT) |
In the analysis of video footage of ball sports, it is necessary for the analyst to watch all of the game footage and re... [more] |
AIT2024-118
pp.297-300 |
| IEICE-ITS, IEICE-IE, ME, AIT, MMS [detail] |
2024-02-19
12:00 |
Hokkaido |
Hokkaido Univ. |
Artificial intelligence super-resolution technology for optical satellite images
Yuhei Kikuya, Toshiki Fujino, Kohei Kurihara, Yoshitaka Toyoda, Muneharu Kuwata (Mitsubishi Electric) |
In recent years, the need for services and solutions using satellite imagery has been increasing. By using satellite ima... [more] |
MMS2024-7 ME2024-23 AIT2024-7
pp.34-38 |
| IEICE-ITS, IEICE-IE, ME, AIT, MMS [detail] |
2024-02-19
14:30 |
Hokkaido |
Hokkaido Univ. |
Wavelet Multi-Resolution Analysis of Color Laparoscopic Image before and after Contrast Enhancement
Norifumi Kawabata (Kanazawa Gakuin Univ.) |
It is important to evaluate image processing and recognition using machine learning, deep learning, and neural network b... [more] |
MMS2024-12 ME2024-28 AIT2024-12
pp.61-66 |
| BCT, IEEE-BT |
2024-02-15
14:50 |
Aichi |
Nagoya International Center
(Primary: On-site, Secondary: Online) |
Digital Flip: real time CG system using AR marker
Akira Miyashita (NHK) |
I have developed "Digital Flip" system that utilizes Marker-based AR (Augmented Reality) technology. This system utilize... [more] |
BCT2024-23
pp.5-8 |