| Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
| IIEEJ, AIT |
2024-06-05
11:30 |
Tokyo |
Tokyo Information Design Professional University
(Primary: On-site, Secondary: Online) |
Performance Evaluation of Machine Learning Models using Entropy of Images
Riko Abe, Yuya Dan (Matsuyama Univ.) |
In machine learning with artificial neural networks, there are differences in recognition accuracy in learning models of... [more] |
AIT2024-146
pp.17-20 |
| 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 |
| IIEEJ, AIT |
2023-06-04
10:40 |
Tokyo |
TOKYO CITY UNIVERSITY
(Primary: On-site, Secondary: Online) |
A Method for Counting Passing People Using Person Detection Based on a Combination of Difference Images and Region Growing
Mirai Amo, Youngha Chang, Nobuhiko Mukai (TCU), Yasuzo Tanaka (Takiguchi Corporation) |
In this study, we propose a method to measure the number of people based on a bird’s-eye movie. Local Binary Patterns (L... [more] |
AIT2023-137
pp.51-54 |
| IEICE-BioX, IEICE-SIP, IEICE-IE, IST, ME [detail] |
2023-05-19
15:45 |
Mie |
Sansui Hall, Mie University
(Primary: On-site, Secondary: Online) |
On-Chip Data Reduction and Object Detection for a Feature Extractable CMOS Image Sensor
Yudai Morikaku (Ritsumeikan Univ.), Ryuichi Ujiie, Daisuke Morikawa, Hideki Shima, Kota Yoshida, Shunsuke Okura (Ritsumeikan Univ.) |
Society 5.0, in which information from sensors in physical space is analyzed by artificial intelligence (AI) in cyberspa... [more] |
IST2023-16 ME2023-59
pp.19-24 |
| MMS, ME, AIT, IEICE-IE, IEICE-ITS [detail] |
2023-02-22
14:00 |
Hokkaido |
Hokkaido Univ. |
Hierarchical Minimum-Sized Object Detection Method using Clustering Algorithm for UAV Autonomous Flight
Yusei Horikawa, Makoto Sugaya, Tetsuya Matsumura (Nihon Univ) |
This paper describes an efficient minimum-sized object detection method in high-Resolution images for UAV autonomous fli... [more] |
MMS2023-31 ME2023-51 AIT2023-31
pp.235-238 |
| IIEEJ, AIT |
2022-10-30
14:50 |
Online |
on line |
[Invited Talk]
Advances in Image Editing Techniques with Deep Learning
Satoshi Iizuka (Univ. of Tsukuba) |
In this presentation, I will introduce how image editing techniques have been developed through deep learning. The metho... [more] |
AIT2022-175
p.13 |
| IEICE-SIP, IEICE-BioX, IEICE-IE, IEICE-MI, IST, ME [detail] |
2022-05-20
16:20 |
Kumamoto |
Kumamoto University
(Primary: On-site, Secondary: Online) |
Visualization of Important Features for Classifier Decisions using Deep Image Synthesis
Yushi Haku, Megumi Nakao, Tetsuya Matsuda (Kyoto Univ.) |
It is difficult to know the basis for the decisions of machine learning models, and it is necessary to provide a highly ... [more] |
|
| AIT, ME, MMS, IEICE-IE, IEICE-ITS [detail] |
2022-02-21
13:00 |
Online |
online |
Domain Incremental Leaning with Adaptive Loss Functions
Takumi Kawashima (UTokyo), Go Irie, Daiki Ikami (NTT), Kiyoharu Aizawa (UTokyo) |
During domain incremental learning of image classification task, the distribution of images continually change, and mode... [more] |
|
| AIT, ME, MMS, IEICE-IE, IEICE-ITS [detail] |
2022-02-22
13:30 |
Online |
online |
What Kind of Images to Post on Instagram? Image Recommendation for Marketing
Yiwei Zhang, Toshihiko Yamasaki (UTokyo) |
Social media is a popular platform for brands to allocate marketing budget and build their relationship with customers n... [more] |
|
| AIT, ME, MMS, IEICE-IE, IEICE-ITS [detail] |
2022-02-22
14:40 |
Online |
online |
Detection of Physiological Disorders in European Pear Using HSV Color Features
Noritaka Kubota, Tatsuya Yamazaki (Niigata Univ.) |
For the "Le Lectier" (pear), appearance quality is important to determine its grade, and grading based on shipping stand... [more] |
|
| ME |
2021-12-13
10:30 |
Online |
online |
Food Image Generation and Appetite Evaluation Based on Appetite Factor Analysis by Image Features
Akihiro Suzuki, Kei Kanari, Mie Sato (Utsunomiya University) |
In recent years, due to the COVID-19 pandemic and the widespread use of technology, the Internet and food and beverage w... [more] |
ME2021-89
pp.5-8 |
| BCT, IEICE-SIS |
2021-10-08
11:10 |
Online |
online |
A Hardware-Oriented Algorithm for Person Recognition Processing using GMM-MRCoHOG features
Ryogo Takemoto, Yuya Nagamine, Kazuki Yoshihiro (Kyutech), Masatoshi Shibata, Hideo Yamada (AISIN), Shuichi Enokida, Hakaru Tamukoh (Kyutech) |
In this research, we focus on Gaussian Mixture Model-MultiResolution Co-occurrence Histograms of Oriented Gradients (GMM... [more] |
|
| ME |
2021-02-27
15:40 |
|
|
A Study on the Relation between Image Features and Appetite Factors in Food Images
Akihiro Suzuki, Kei Kanari, Mie Sato (Utsunomiya City Univ) |
In recent years, COVID-19 and the spread of technology have made Go to Eat campaigns and food delivery services a hot to... [more] |
ME2021-49
pp.75-78 |
| IEICE-IE, IEICE-ITS, MMS, ME, AIT [detail] |
2021-02-18
11:35 |
Online |
Online |
A Note on Accurate Distress Image Classification of Road Structures Using Attention Map based on Text Data
Naoki Ogawa, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.) |
This paper presents a correlation-aware attention branch network (CorABN) using multi-modal data for deterioration level... [more] |
MMS2021-4 ME2021-4 AIT2021-4
pp.17-21 |
| IEICE-IE, IEICE-ITS, MMS, ME, AIT [detail] |
2021-02-18
15:40 |
Online |
Online |
Texture Analysis and Evaluation of the Shitsukan Research Database Based on Luminance Information
Norifumi Kawabata (Tokyo Univ. of Science) |
One of texture component on objects and graphics is luminance. By strength of luminance, human visual perception for cla... [more] |
MMS2021-11 ME2021-11 AIT2021-11
pp.53-58 |
| IEICE-IE, IEICE-ITS, MMS, ME, AIT [detail] |
2021-02-18
16:40 |
Online |
Online |
A note on improvement of image sentiment analysis based on introduction of image captioning
Yun Liang, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.) |
Recently, with the popularization of social network services, the images uploaded by users have been increasing. Users t... [more] |
MMS2021-13 ME2021-13 AIT2021-13
pp.65-69 |
| ME, SIP |
2020-12-16
13:00 |
Online |
Online |
A study on hierarchical estimation of road narrowing conditions by piled snow in in-vehicle cameras
Kozo Okumura, Sho Takahashi, Toru Hagiwara (Hokkaido Univ.) |
Snow fall regions are facing the challenges such as the aging and decrease in the number of the snow removal workers. Re... [more] |
ME2020-102
pp.1-4 |
| HI, IEICE-IE, IEICE-ITS, MMS, ME, AIT [detail] |
2020-02-27
11:15 |
Hokkaido |
Hokkaido Univ.
(Cancelled) |
Composition Presentation of Room Images with Composition Feature
Taiki Akama (UEC), Masachika Suzuki, Hisao Kimura, Yoshio Asada, Keisuke Suzuki (AVANT), Hiroki Takahashi (UEC) |
Taking some real estate room images for searching site, detection composition features and presenting appropriate compos... [more] |
MMS2020-7 HI2020-7 ME2020-35 AIT2020-7
pp.35-40 |
| HI, IEICE-IE, IEICE-ITS, MMS, ME, AIT [detail] |
2020-02-27
16:35 |
Hokkaido |
Hokkaido Univ.
(Cancelled) |
A Study on Region Segmentation of Color Laparoscopic Images after Contrast Enhancement Including Super-Resolution CNN by Image Regions
Norifumi Kawabata (Tokyo Univ. of Science), Toshiya Nakaguchi (Chiba Univ.) |
As one of image pre-processing method to detect, recognize, and estimate lesion or characteristic region in medical imag... [more] |
MMS2020-22 HI2020-22 ME2020-50 AIT2020-22
pp.113-118 |
| HI, IEICE-IE, IEICE-ITS, MMS, ME, AIT [detail] |
2020-02-28
16:50 |
Hokkaido |
Hokkaido Univ.
(Cancelled) |
A Note on Image Retrieval Focusing on Objects in Images
-- Improving Retrieval Performance Based on Object Recognition Using RetinaNet --
Rintaro Yanagi, Ren Togo, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.) |
Image retrieval method using a text as a query is effective because it enables users to prepare query easily. In these m... [more] |
MMS2020-49 HI2020-49 ME2020-77 AIT2020-49
pp.377-381 |