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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 64  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
KANSAI 2024-12-22
11:45
Osaka Osaka Metropolitan University, I-site Namba A Study on the Sensitivity of 8-Shared Pixels for a Feature-Extractable CMOS Image Sensor
Daichi Anami, Yu Osuka, Yudai Morikaku (Ritsumeikan Univ.), Ryuichi Ujiie, Daisuke Morikawa, Hideki Shima (Nisshinbo Micro Devices Inc.), Shunsuke Okura (Ritsumeikan Univ.)
(To be available after the conference date) [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
ME 2024-10-21
15:45
Tokyo Kikai-Shinko-Kaikan Bldg. Descriptive text generation with person names for TV program video
Naotsuna Fujimori (NHK), Masahide Naemura (NHK Foundation), Takahiro Mochizuki (NHK)
In order to enhance the efficacy of program production, it is imperative that technology be employed to automatically ge... [more] ME2024-92
pp.15-18
ME, IEICE-EMM, IEICE-IE, IEICE-LOIS, IEE-CMN, IPSJ-AVM [detail] 2024-09-04
15:30
Hiroshima Hiroshima Institute of Technology
(Primary: On-site, Secondary: Online)
The Research on Dangerous Behavior Recognition and Warning System for Escalators Based on Deep Learning Models
YongXuan Zhu, Hiroyuki Nakamura (S.I.T)
In this study, we developed a system that uses deep learning and image recognition technology to identify potential dang... [more] ME2024-80
pp.1-5
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
ME, IST, IEICE-BioX, IEICE-SIP, IEICE-MI, IEICE-IE [detail] 2024-06-06
14:10
Niigata Nigata University (Ekinan-Campus "TOKIMATE") A trial for recognizing traffic scene using a Vision-Language Model
Kazuto Nakagawa, Kazuma Nishimura, Osamu Sugiyama, Masahiro Tada (Kindai Univ.)
For the societal implementation of autonomous driving systems, it is essential that these systems understand the behavio... [more] IST2024-25 ME2024-50
pp.15-18
ME, IST, IEICE-BioX, IEICE-SIP, IEICE-MI, IEICE-IE [detail] 2024-06-07
13:15
Niigata Nigata University (Ekinan-Campus "TOKIMATE") Lightweight Object Detection Model for a Binary Feature Extractable CMOS Image Sensor
Keiichiro Kuroda, Yudai Morikaku, Yu Osuka (Ritumeikan Univ), Ryuichi Ujiie, Daisuke Morikawa, Hideki Shima (Nisshinbo Micro Devices), Okura Syunsuke, Kota Yoshida (Ritumeikan Univ)
For the coming Society 5.0, we propose an object detection system using a CMOS image sensor capable of extracting binary... [more] IST2024-27 ME2024-52
pp.23-28
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
15:00
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
13:10
Online   A Study on Image Selection for Graduation Albums Based on a Large-scale Pre-trained Model and Face Detection
Hiraku Matsuda, Yuta Muraki (OIT), Kazuyuki Fukuda, Kentaro Wada (DAICOLO CO.,LTD.), Mutsuo Sano (OIT)
When creating a graduation album, there is the task of selecting images to be placed in the layout from among many image... [more] HI2024-21
pp.35-38
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
ME 2024-02-10
09:45
Online online A Study of Work Time Reduction Methods for Individual Recognition in Zoo
Kanon Shimodaira, Ayana Rikimaru (NIT,NC)
This study investigated the feasibility of a real-time recognition system with the goal of improving the experience of o... [more] ME2024-1
pp.1-3
ME, IEICE-EMM, IEICE-IE, IEICE-LOIS, IEE-CMN, IPSJ-AVM [detail] 2023-09-07
09:50
Osaka Osaka Metropolitan Univ.
(Primary: On-site, Secondary: Online)
Improving Performance of Convolutional Neural Network-Based Driver Behavior Recognition
Shengbiao Wang, Koji Iwano (Tokyo City Univ.)
This study investigates the automatic recognition of driver behaviors using images captured by in-vehicle cameras for th... [more] ME2023-90
pp.7-12
IST 2023-06-21
16:10
Tokyo Tokyo University of Science Morito Memorial Hall [Invited Talk] Introduction to Single Exposure HDR CMOS Image Sensors
Shunsuke Okura (Ritsumeikan)
In the development of Internet of Things (IoT), CMOS image sensors are expected to be used under extreme-illumination co... [more] IST2023-27
pp.27-28
IIEEJ, AIT 2023-06-04
10:00
Tokyo TOKYO CITY UNIVERSITY
(Primary: On-site, Secondary: Online)
A Study on Accuracy Recognition of Images using Elimination of Specular Reflection Light -- Trial of Restoration from Peripheral Pixel Information using Spatial Filtering --
Riko Abe, Yuya Dan (Matsuyama Univ.)
As the performance of computer systems improves, image recognition technology expands its scope of application and is be... [more] AIT2023-135
pp.43-46
IEICE-BioX, IEICE-SIP, IEICE-IE, IST, ME [detail] 2023-05-19
15:15
Mie Sansui Hall, Mie University
(Primary: On-site, Secondary: Online)
Object Detection with Split Images Based on Signal Range for Single Exposure High Dynamic Range Image Sensors
Yuta Nakahigashi, Yu Osuka, Kota Yoshida, Shunsuke Okura (Ritsumeikan Univ.)
In this paper, we study object detection with split images based on signal range for single exposure high dynamic range... [more] IST2023-15 ME2023-58
pp.13-18
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
AIT, IIEEJ, AS, CG-ARTS 2023-03-06
15:15
Tokyo Tokyo Polytechnic Univ. (Nakano)
(Primary: On-site, Secondary: Online)
Generating artwork using text
Moeko Ono, Kazuya Ueki (Meisei Univ.)
There are various types of character-based art. These include handwritten brushstroke art and machine-generated ASCII ar... [more] AIT2023-73
pp.143-144
MMS, ME, AIT, IEICE-IE, IEICE-ITS [detail] 2023-02-22
13:30
Hokkaido Hokkaido Univ. A study of the image captioning method with person names
Naotsuna Fujimori, Takahiro Mochizuki (NHK)
We have been working on image captioning techniques with the main goal of automatically generating audio description. In... [more] MMS2023-29 ME2023-49 AIT2023-29
pp.225-230
 Results 1 - 20 of 64  /  [Next]  
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