Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
MBE, NC, NLP, CAS (Joint) [detail] |
2020-10-30 09:25 |
Online |
Online |
Analysis of simple cellular automata for music signal generation Hotaka Udagawa, Toshimichi Saito (HU) CAS2020-12 NLP2020-33 |
The elementary cellular automata (ECAs) are a digital dynamical system in which time, space and states are all discrete.... [more] |
CAS2020-12 NLP2020-33 pp.5-8 |
ITE-HI, IE, ITS, ITE-MMS, ITE-ME, ITE-AIT [detail] |
2020-02-27 11:15 |
Hokkaido |
Hokkaido Univ. (Cancelled but technical report was issued) |
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] |
|
MI |
2020-01-30 15:10 |
Okinawa |
OKINAWAKEN SEINENKAIKAN |
Exploration of image features associated with ruptures of intracranial aneurysms using magnetic resonance angiography Masayuki Yamanouchi (KMH), Hidetaka Arimura (Kyushu Univ.) MI2019-120 |
Ruptures of intracranial aneurysms are serious conditions resulting in subarachnoid hemorrhage. We hypothesized that the... [more] |
MI2019-120 pp.235-236 |
PRMU |
2019-12-19 11:15 |
Oita |
|
A Study on the Extraction Method of Handwritten Chinese Character's Structure Using the Simplicial Complex and Simplicial Approximation Masato Suzuki, Daisuke Kitakoshi (Tokyo KOSEN) PRMU2019-49 |
We have been investigating a method to extract structural information of handwritten chinese characters, realizing how t... [more] |
PRMU2019-49 pp.17-21 |
IMQ, IE, MVE, CQ (Joint) [detail] |
2019-03-14 09:55 |
Kagoshima |
Kagoshima University |
A Search Method of Cropped Image Using Corner Feature Points for Watermarked Image Kouki Ikeda, Kousuke Imamura (Kanazawa Univ.), Hideo Kuroda, Makoto Fujimura (Nagasaki Univ.) IMQ2018-27 IE2018-111 MVE2018-58 |
The digital watermarking technique is used for the prevention of distribution of illegal copies. However, the simply app... [more] |
IMQ2018-27 IE2018-111 MVE2018-58 pp.25-29 |
IMQ, IE, MVE, CQ (Joint) [detail] |
2019-03-14 10:20 |
Kagoshima |
Kagoshima University |
Study on Head Region Extraction Methods for Human Images Shu Iwata, Tatsuya Yamazaki (Niigata Univ.) IMQ2018-28 IE2018-112 MVE2018-59 |
One of our research objects is to develop an application that provides questions using human head images and to provide ... [more] |
IMQ2018-28 IE2018-112 MVE2018-59 pp.31-35 |
IMQ, IE, MVE, CQ (Joint) [detail] |
2019-03-14 10:50 |
Kagoshima |
Kagoshima University |
Estimation of Video Viewers' Emotion by SRC using Bio-signals and Facial Feature Points Yui Tagami, Mutsumi Suganuma, Wataru Kameyama (Waseda Univ.), Simon Clippingdale (NHK STRL) CQ2018-95 |
Aiming for making more accurate content recommendation system, we estimate video viewers’ emotion based on questionnaire... [more] |
CQ2018-95 pp.19-24 |
ITS, IE, ITE-MMS, ITE-HI, ITE-ME, ITE-AIT [detail] |
2019-02-20 09:30 |
Hokkaido |
Hokkaido Univ. |
Detection of Improper Tactile Paving using Pedestrian Viewpoint video Kento Watanabe, Hiroki Takahashi (UEC) ITS2018-73 IE2018-94 |
Currently, there are 36 million blind people in the whole world. Furthermore, the number of blind people will be expecte... [more] |
ITS2018-73 IE2018-94 pp.141-146 |
PRMU, IBISML, IPSJ-CVIM [detail] |
2018-09-20 09:50 |
Fukuoka |
|
A Study of Handwritten Chinese Character Recognition Method Based on Detection of The Curve Endpoints and Quadratic Curve Fitting Masato Suzuki, Daisuke Kitakoshi (Tokyo KOSEN) PRMU2018-44 IBISML2018-21 |
The local feature extraction used in general object recognition is one of the useful method to recognize
the handwritte... [more] |
PRMU2018-44 IBISML2018-21 pp.55-60 |
SIS |
2018-03-08 16:15 |
Aichi |
Meijo Univ. Tempaku Campus |
Verification of clothing features for virtual wearing system using OpenPose Nao Fujiyama, Shudai Ishikawa (NIT, Oita College), Ryosuke Kubota (NIT, Ube College) SIS2017-62 |
Wearing clothes is essential in our life, some people have troubles with coordination. In this research, the final purpo... [more] |
SIS2017-62 pp.29-34 |
PRMU, CNR |
2018-02-20 09:30 |
Wakayama |
|
Detection of outdoor cables from point-cloud measured by MMS
-- Classification method of elongated object using histogram feature based on multiple geometric directions(MGPFH) -- Hitoshi Niigaki, Ken Tsutsuguchi, Tetsuya Kinebuchi (NTT) PRMU2017-159 CNR2017-37 |
Research results on detecting details of outdoor structures using point clouds measured by Mobile Map-
ping Systems hav... [more] |
PRMU2017-159 CNR2017-37 pp.83-87 |
ITS, IE, ITE-MMS, ITE-HI, ITE-ME, ITE-AIT [detail] |
2018-02-16 11:30 |
Hokkaido |
Hokkaido Univ. |
A Study of Handwritten Chinese Character Recognition Method Based on Feature Points Extraction Using Small Scale Space Masato Suzuki, Daisuke Kitakoshi (Tokyo Kosen) ITS2017-83 IE2017-115 |
Recognition method using local feature extraction is one of the famous strategies to general object recognition. By cons... [more] |
ITS2017-83 IE2017-115 pp.257-260 |
ITS, IE, ITE-MMS, ITE-HI, ITE-ME, ITE-AIT [detail] |
2018-02-16 11:30 |
Hokkaido |
Hokkaido Univ. |
Accuracy Improvement of Preference Estimation for Video Using SFEM-GS Yoshiki Ito, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.) |
In this paper, we present two kinds of canonical correlation analysis methods, supervised fractional-order embedding mul... [more] |
|
MBE, NC, NLP (Joint) |
2018-01-26 15:50 |
Fukuoka |
Kyushu Institute of Technology |
Restricted Representation for Attentional Items of Feature Map Developed by a Self-Organizing Map Hiroshi Wakuya, Yuukou Tanaka, Hideaki Itoh (Saga Univ.) NC2017-56 |
A self-organizing map (SOM) can be seen as a signal converter preserving its topology between the input and output space... [more] |
NC2017-56 pp.35-40 |
DC |
2017-12-15 12:30 |
Akita |
Akita Study Center, The Open University of Japan |
Basic study on vertical curve detection method combined with use of inertial sensors and tachometer generators for correction of train position Shigeru Taniguchi, Koji Iwata, Yuki Ota (RTRI), Masayuki Kitora, Akira Asano (Kyosan Inc) DC2017-68 |
With respect to the conventional method to detect the track particular points such as curves and to correct the train po... [more] |
DC2017-68 pp.1-6 |
IA, IN (Joint) |
2017-12-15 14:10 |
Hiroshima |
Hiroshima City Univ. |
A study of gini importance-based header feature selection methods for cyber attack detection Yuta Kazato, Yuichi Nakatani, Takeshi Okamoto, Akira Shibata (NTT) IN2017-61 |
Growing the expansion of network services and IoT devices, the risk of cyber attacks is increased by high-frequency and ... [more] |
IN2017-61 pp.91-96 |
NLP |
2017-11-06 15:15 |
Miyagi |
Research Institute of Electrical Communication Tohoku University |
Stability of Cellular Automata with Time-variant Rules Takahiro Ozawa, Toshimichi Saito (HU) NLP2017-83 |
The elementary cellular automata(ECA) is
a digital dynamical system in which time, space and states are all discrete.
... [more] |
NLP2017-83 pp.101-105 |
MVE |
2017-09-21 10:00 |
Chiba |
Chiba Univ. |
Feature Extraction and Impression Prediction of Presentation Slides Shinji Oyama, Toshihiko Yamasaki, Kiyoharu Aizawa (Univ. of Tokyo) MVE2017-14 |
Presentation using slides is an effective way to deliver information in various fields. Although it has become easier to... [more] |
MVE2017-14 pp.1-6 |
MVE |
2017-09-21 15:45 |
Chiba |
Chiba Univ. |
Predictions of Effectiveness of Television Advertising with Convolutional Neural Networks Shunsuke Nakamura (Univ. of Tokyo), Tatsuya Kawahara (VideoResearch), Toshihiko Yamasaki (Univ. of Tokyo) MVE2017-18 |
Predicting the recognition rate of television advertising is a critical issue for advertisers, but factors that contribu... [more] |
MVE2017-18 pp.21-24 |
SS, KBSE, IPSJ-SE [detail] |
2017-07-20 17:15 |
Hokkaido |
|
Documentation and Process to Share Semantics of Features Tsuneo Nakanishi (Fukuoka Univ.) SS2017-20 KBSE2017-20 |
The feature, which is employed as textit{de facto} standard in product line engineering, is a convenient abstraction to ... [more] |
SS2017-20 KBSE2017-20 pp.157-162 |