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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| HCGSYMPO (2nd) |
2023-12-11 - 2023-12-13 |
Fukuoka | Asia pacific Import Mart (Kitakyushu) (Primary: On-site, Secondary: Online) |
Relationships between product package colors gazed by potential buyers and purchasing motivations Atsushi Furuichi, Tomoko Kajiyama, Akira Hara (Hiroshima City Univ.), Shin'ichi Satoh (NII) |
In purchasing activities of potential customers, to estimate their feelings or preferences based on their gaze informati... [more] | |
| MBE, NC (Joint) |
2022-03-03 14:40 |
Online | Online | A study on EEG signal features for discriminating shapes and colors of simple visual images. Akihiro Kato, Ryota Horie (SIT)  MBE2021-96 |
In this study, we trained an LSTM-based discriminator proposed by Spampinato et al. to discriminate shapes and colors of... [more] | MBE2021-96 pp.39-42 |
| IE, ITS, ITE-AIT, ITE-ME, ITE-MMS [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.) ITS2021-62 IE2021-71 |
For the "Le Lectier" (pear), appearance quality is important to determine its grade, and grading based on shipping stand... [more] | ITS2021-62 IE2021-71 pp.219-224 |
| EMM, EA, ASJ-H | 2021-11-15 09:00 |
Online | Online | [Poster Presentation]
An Extension of Reversible Image Enhancement Processing for Saturation and Brightness Contrast Yuki Sugimoto, Shoko Imaizumi (Chiba Univ) EA2021-34 EMM2021-61 |
In this paper, we propose a reversible image processing method for color images. The proposed method not only enhances b... [more] | EA2021-34 EMM2021-61 pp.43-48 |
| MI | 2021-07-09 14:00 |
Online | Online | Severity determination of chest CT data in tuberculosis patients using deep learning Tetsuya Asakawa, Riku Tsuneda (TUT), Kazuki Simizu, Takuyuki Komoda (THC), Masaki Aono (TUT) MI2021-19 |
The purpose of this study is to make accurate estimates for five labels (infiltrative, focal, tuberculoma, miliary, and ... [more] | MI2021-19 pp.42-46 |
| PRMU, IPSJ-CVIM | 2020-03-16 16:45 |
Kyoto | (Cancelled but technical report was issued) |
Image compression by colorization Hiya Roy, Subhajit Chaudhury, Toshihiko Yamasaki, Tatsuaki Hashimoto (UTokyo) PRMU2019-86 |
Image compression techniques exploit the inherent psycho-visual limitations in human vision to reduce the number of bits... [more] | PRMU2019-86 pp.107-108 |
| PRMU, MI, IPSJ-CVIM [detail] | 2019-09-04 16:10 |
Okayama | [Short Paper]
Quantitative evaluation of lymph nodes in colorectal cancer using 3-phase abdominal CT images Ren Nishimoto, Hidenobu Suzuki, Yoshiki Kawata, Noboru Niki (Tokushima Univ.), Gen Iinuma (NCC) PRMU2019-14 MI2019-33 |
“Presence / absence of lymph node metastasis” is an important indicator in staging of colorectal cancer. In this study, ... [more] | PRMU2019-14 MI2019-33 pp.15-18 |
|
| HCGSYMPO (2nd) |
Mie | Sinfonia Technology Hibiki Hall Ise | Investigation of input frame interval in sign language recognition using deep learning Kazuki Sakamoto, Tatsunori Ozawa (KAIT), Eiji Ota (freelance), Hiromitsu Nishimura, Hiroshi Tanaka (KAIT), Daisuke Kobayashi, Michio Iwamoto, Syuji Kato (KCC corp.) |
The authors have been studying sign language recognition using color gloves and optical camera. We extract features usin... [more] | ||
| LOIS, IPSJ-CN, IPSJ-SPT | 2018-05-11 14:50 |
Tokyo | Tsuda Univ. | Regional evaluation collection system using subjective evaluation and color information of posted image Mai Niimi (Tsuda Univ.), Noriaki Koide (NII), Akihisa Kodate, Noboru Sonehara (Tsuda Univ.) LOIS2018-4 |
In recent years, with the increase in the number of users of Social Networking Services, multimedia information sharing ... [more] | LOIS2018-4 pp.91-94 |
| PRMU, BioX | 2018-03-18 11:10 |
Tokyo | Learning Convolutional Autoencoders Using a Loss Function Based on Spatial Frequencies and Colors Naoyuki Ichimura (AIST) BioX2017-36 PRMU2017-172 |
This paper presents a learning method for convolutional autoencoders (CAEs) for extracting features from images. CAEs ca... [more] | BioX2017-36 PRMU2017-172 pp.1-6 |
|
| NC, IPSJ-BIO, IBISML, IPSJ-MPS [detail] | 2017-06-23 17:15 |
Okinawa | Okinawa Institute of Science and Technology | Visibility Prediction of Color Scheme with the Model of Human Color Vision composed of Convolutional Neural Networks Shodai Sasaki, Yoshihisa Shinozawa (Keio Univ.) NC2017-11 |
In this research, we implement convolutional neural networks (CNN) and introduce a multi-stage color (MSC) model, which ... [more] | NC2017-11 pp.39-44 |
| SIS | 2016-03-10 15:50 |
Tokyo | Tokyo City Univ. | Feature Point Extraction from A Manga-Style Illustration of A Facial Image Using SIFT and Color Features as A Feature Vector Shun Aoki, Ryusuke Miyamoto (Meiji Univ.) SIS2015-59 |
Several schemes have been proposed to localize facial parts in natural imamges accurately because many practical applica... [more] | SIS2015-59 pp.63-68 |
| RECONF | 2015-06-19 13:45 |
Kyoto | Kyoto University | Consideration for Visual Word Feature Transformation Hardware based on Bag-of-Features Koki Sugi, Tetsushi Koide, Tatsuya Shimizu, Takumi Okamoto, Anh-Tuan Hoang, Hikaru Satoh, Toru Tamaki, Bisser Raytchev, Kazufumi Kaneda (Hiroshima Univ.), Shigeto Yoshida, Hiroshi Mieno (Hiroshima General Hospital of West Japan Railway Company), Shinji Tanaka (Hiroshima Univ.) RECONF2015-6 |
Recent years, the Computer-Aided Diagnosis (CAD) system which supports doctor’s diagnosis effectively in the diagnosis o... [more] | RECONF2015-6 pp.29-34 |
| MoNA, IPSJ-MBL, IPSJ-DPS | 2015-05-28 11:40 |
Okinawa | Miyakojima Marine Terminal | A Study and Prototyping of the Asset Management System with Glasses-type Wearable Device and Color Barcode Kosuke Moriwaki, Masahiko Toyoshi, Tatsuya Nishikiori, Mitsuhiro Goto, Koji Nakamura, Hideaki Kimata (NTT Comware Corp.) MoNA2015-3 |
In company’s asset management, it consumes much time to take regularly inventory when the number of assets is large. In ... [more] | MoNA2015-3 pp.41-44 |
| SIS | 2015-03-05 10:20 |
Tokyo | Meiji Univ. Nakano Campus (Tokyo) | Improvement of Color2Gray Algorithm by Consideration of Local Variance Meng Meng, Shi Bao, Go Tanaka (Nagoya City Univ.) SIS2014-92 |
In usual color-to-gray conversion of color images, the lightness component of an input color image is assigned to gray l... [more] | SIS2014-92 pp.7-10 |
| VLD, DC, IPSJ-SLDM, CPSY, RECONF, ICD, CPM (Joint) [detail] |
2014-11-26 17:05 |
Oita | B-ConPlaza | Visual-Word Feature Transformation Architecture for Computer-Aided Diagnosis using Colorectal Endoscopic Images with NBI Magnification Koki Sugi, Tetsushi Koide, Anh-Tuan Hoang, Takumi Okamoto, Tatsuya Shimizu, Toru Tamaki, Bisser Raytchev, Kazufumi Kaneda, Yoko Kominami, Shigeto Yoshida, Shinji Tanaka (Hiroshima Univ.) VLD2014-77 DC2014-31 |
With the increase of colorectal cancer patients in recent years, the computer-aided diagnosis (CAD) system which support... [more] | VLD2014-77 DC2014-31 pp.33-38 |
| CPSY | 2014-11-13 12:55 |
Hiroshima | Hiroshima University | Consideration for Acceleration of Feature Transformation based on the Bag-of-Features for Colorectal Endoscopic Images Koki Sugi, Tetsushi Koide, Anh-Tuan Hoang, Takumi Okamoto, Tatsuya Shimizu, Toru Tamaki, Bisser Raytchev, Kazufumi Kaneda, Yoko Kominami, Shigeto Yoshida, Shinji Tanaka (Hiroshima Univ.) CPSY2014-55 |
With the increase of colorectal cancer patients in recent years, the computer-aided diagnosis (CAD) system which support... [more] | CPSY2014-55 pp.7-12 |
| RECONF | 2014-09-18 13:00 |
Hiroshima | [Invited Talk]
Architecture Development for the Real-time Computer-Aided Diagnosis of Colorectal Endoscopic Images with NBI Magnification Tetsushi Koide (Hiroshima Univ.) RECONF2014-17 |
With the increase in patients of colorectal cancer in recent years, the requirement of the effective diagnostic support ... [more] | RECONF2014-17 pp.1-6 |
|
| PRMU | 2014-03-13 16:15 |
Tokyo | Study of Tongue Detection and Tongue Shape Classification Based on Active Contour Model and Texture Features Ming Tian, Luo Dan, Jun Ohya (Waseda Univ.) PRMU2013-190 |
In this paper, we aim to an automatic tongue diagnosis system in traditional Chinese medicine. First, we propose a new m... [more] | PRMU2013-190 pp.133-138 |
|
| CPSY | 2013-11-08 10:30 |
Hiroshima | The Real-time Feature Extraction Architecture for Colorectal Endoscopic Images with NBI Magnification Tsubasa Mishima, Satoshi Shigemi, Anh-Tuan Hoang, Tetsushi Koide, Toru Tamaki, Bisser Raytchev, Kazufumi Kaneda, Yoko Kominami, Rie Miyaki, Taiji Matsuo, Shigeto Yoshida, Shinji Tanaka (Hiroshima Univ.) CPSY2013-43 |
Increment in number of colorectal cancer patient increases the requirement for a more efficient diagnosis system. In thi... [more] | CPSY2013-43 pp.25-30 |
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