| Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
| AIT, ME, MMS, IEICE-IE, IEICE-ITS [detail] |
2022-02-21
13:00 |
Hokkaido |
Hokkaido University Conference Hall
(Primary: On-site, Secondary: Online) |
Domain Incremental Leaning with Adaptive Loss Functions
Takumi Kawashima (UTokyo), Go Irie, Daiki Ikami (NTT), Kiyoharu Aizawa (UTokyo) |
(To be available after the conference date) [more] |
|
| AIT, ME, MMS, IEICE-IE, IEICE-ITS [detail] |
2022-02-22
13:30 |
Hokkaido |
Hokkaido University Conference Hall
(Primary: On-site, Secondary: Online) |
What Kind of Images to Post on Instagram? Image Recommendation for Marketing
Yiwei Zhang, Toshihiko Yamasaki (UTokyo) |
[more] |
|
| AIT, ME, MMS, IEICE-IE, IEICE-ITS [detail] |
2022-02-22
14:40 |
Hokkaido |
Hokkaido University Conference Hall
(Primary: On-site, Secondary: Online) |
Detection of Physiological Disorders in European Pear Using HSV Color Features
Noritaka Kubota, Tatsuya Yamazaki (Niigata Univ.) |
(To be available after the conference date) [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 |
| BCT, IEICE-OCS, IEICE-OFT, IEE-CMN [detail] |
2019-11-21
14:30 |
Yamaguchi |
Kaikyo-Messe-Shimonoseki |
Micro QR code reading experiment for trial production of reflection type optical modulator
Shigenori Takeda (Kogakuin Univ.), Kazuto Doke, Yoshiaki Nakano (NT), Mikio Maeda (Kogakuin Univ.) |
We have been researching on a live video transport system that sends moving images from an underwater vehicle to a ship ... [more] |
BCT2019-85
pp.7-12 |
| IEICE-SIS, IPSJ-AVM, 3DIT [detail] |
2019-06-13
13:55 |
Nagasaki |
Fukue Culture Center |
Accuracy Improvement of Depth Estimation from a Single Still Image Using Feature Pyramid Network
Yudai Fukuda, Takuro Oki, Ryusuke Miyamoto (Meiji Univ.) |
Depth estimation from a single shot image have become accurate drastically after emergence of deep
neural networks that... [more] |
|
| AIT, IIEEJ, AS, CG-ARTS |
2019-03-12
14:00 |
Tokyo |
Waseda Univ. |
LinDA:Features Extraction and Classification of Line Segments for Semi-Automatic Generation of Cartoon Background Images
Megumi Nomura, Masanori Nakayama, Issei Fujishiro (Keio Univ.) |
For cartoon novices, it is effective to reuse as their background images, line drawing materials drawn and opened to the... [more] |
AIT2019-139
pp.315-318 |
| ME, IEICE-IE, IEICE-ITS, MMS, HI, AIT [detail] |
2019-02-19
16:30 |
Hokkaido |
Hokkaido Univ. |
A Fundamental Study on Laparoscopic Image Region Segmentation Based on Texture Analysis by Regions
Norifumi Kawabata (Nagoya Univ.), Toshiya Nakaguchi (Chiba Univ.) |
Most of image region segmentation studies can be divided to both subjective method by assessors and objective method by ... [more] |
MMS2019-15 HI2019-15 ME2019-37 AIT2019-15
pp.125-130 |
| ME, IEICE-IE, IEICE-ITS, MMS, HI, AIT [detail] |
2019-02-20
11:00 |
Hokkaido |
Hokkaido Univ. |
A Note on Estimation of Rock Drilling Energy Using Tunnel Working Face Images
Kentaro Yamamoto, Ryosuke Harakawa, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.) |
In tunnel construction, it is important to grasp the geological condition of the rock to shorten the construction period... [more] |
MMS2019-32 HI2019-32 ME2019-54 AIT2019-32
pp.291-294 |
| ME, IEICE-IE, IEICE-ITS, MMS, HI, AIT [detail] |
2019-02-20
13:15 |
Hokkaido |
Hokkaido Univ. |
A Note on Gastritis Detection from Gastric X-ray Images via Transfer Learning Approach
Misaki Kanai, Ren Togo, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.) |
This paper presents a method for gastritis detection from gastric X-ray images via a transfer learning approach using a ... [more] |
MMS2019-37 HI2019-37 ME2019-59 AIT2019-37
pp.315-318 |
| ME |
2019-02-09
13:30 |
Kanagawa |
Kanto Gakuin University |
Video classification using signals and semantic level metadata for ambiguous video search
Ryunosuke Itabashi, Nobuyuki Yagi (Tokyo City Univ.) |
It is becoming possible to find the expected videos in the internet with considerable accuracy, but the developed techno... [more] |
ME2019-11
pp.31-34 |