Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
IN, NS (Joint) |
2019-03-04 09:20 |
Okinawa |
Okinawa Convention Center |
Proposal of Dynamic Transmission Interval Control Method by Considering the Requirements for Spatio-temporal Data Retention Shumpei Yamasaki, Daiki Nobayashi, Kazuya Tsukamoto, Takeshi Ikenaga (Kyutech) NS2018-197 |
With the development and the diffusion of Internet of Things (IoT) technologies, various types of data are generated for... [more] |
NS2018-197 pp.21-26 |
IN, NS (Joint) |
2019-03-04 10:10 |
Okinawa |
Okinawa Convention Center |
Proposal of heterogeneous data collection and processing method for various kinds of spatio-temporal contents generation Kentaro Nagao (Kyutech), Yuzo Taenaka (NAIST), Hiroshi Yamamoto (Rits), Takeshi Ikenaga, Kazuya Tsukamoto (Kyutech) NS2018-209 |
We have proposed Geo-Centric information platform(GCIP), which achieves geo-location aware data collaboration for IoT se... [more] |
NS2018-209 pp.93-98 |
NS |
2019-01-17 14:25 |
Nagasaki |
Nagasaki Prefectural Art Museum |
[Encouragement Talk]
Proposal of Weighted Search Method of Spatio Temporal Content in Geo-Centric Information Platform Shingo Higuchi, Kentaro Nagao (kyutech), Yuzo Taenaka (NAIST), Akira Nagata (iD), Hitomi Tamura (FIT), Kazuya Tsukamoto (kyutech) NS2018-179 |
Our research group has proposed a concept of Geo-Centric a new information architecture, Geo-Centric (GC) information pl... [more] |
NS2018-179 pp.7-12 |
NS |
2018-10-18 13:50 |
Kyoto |
Kyoto Kyoiku Bunka Center |
[Poster Presentation]
Study on Search Method of Dynamic Content in Geo-Centric information platform Shingo Higuchi, Kentaro Nagao (kyutech), Yuzo Taenaka (NAIST), Akira Nagata (iD), Hitomi Tamura (FIT), Kazuya Tsukamoto (kyutech) NS2018-120 |
Our research group has advocated a new information architecture, Geo-Centric (GC) information platform, to collect vario... [more] |
NS2018-120 pp.73-74 |
CQ |
2018-01-19 11:45 |
Tokyo |
NII |
Spatio-Temporal Mobile Call Demand Estimation in the Kumamoto Earthquakes Lei Zhong (NII), Kiyoshi Takano (UTokyo), Kunikazu Yoda, Yusheng Ji, Shigeki Yamada (NII) CQ2017-94 |
Due to the increasing importance of mobile communications in disaster mitigation and relief, it is very critical to be a... [more] |
CQ2017-94 pp.51-56 |
PRMU, IPSJ-CVIM, MVE [detail] |
2017-01-20 15:35 |
Kyoto |
|
Cooking Gesture Recognition based on Spatio-Temporal Histogram of Oriented Gradient Features Seiji Kojima, Wataru Ohyama, Tetsushi Wakabayashi (Mie Univ.) PRMU2016-145 MVE2016-36 |
In this research, we propose a cooking gesture recognition method.
The outline of this research is as follows,
(1) Act... [more] |
PRMU2016-145 MVE2016-36 pp.315-319 |
MVE, ITE-HI |
2016-07-20 14:30 |
Tokyo |
|
A Prospective Study About Enhancing Effect of VR in Soccer Training Cesar Daniel Rojas Ferrer, Itaru Kitahara, Yoshinari Kameda (U. Tsukuba) MVE2016-7 |
In elite football soccer, the quest for new training methods in order to improve performance is never-ending. Specially ... [more] |
MVE2016-7 pp.25-30 |
NC, MBE |
2015-03-16 13:35 |
Tokyo |
Tamagawa University |
Analysis of the spatio-temporal activity in a salt-sensing neuron of the nematode C. elegans Masahiro Kuramochi (Univ. of Tsukuba/AIST), Motomichi Doi (Univ. of Tsukuba) MBE2014-146 NC2014-97 |
To understand the characterization of a neuronal activity in animal brains, integration of the in vivo measurement of ne... [more] |
MBE2014-146 NC2014-97 pp.169-172 |
MICT, ASN, MoNA (Joint) |
2015-01-26 - 2015-01-27 |
Wakayama |
Nanki Shirahama |
A Proposal of Sharing Data Visualization using Spatio-temporal Sensor Data Management Server Seiya Tajima, Masataka Shinohara, Yuichi Sueyoshi, Kazuki Takahashi, Masayuki Iwai (TDU) |
In order to perform a wide range in an efficient manner examined in user participation sensing , time or subjected to se... [more] |
|
ITS, IEE-ITS |
2014-03-13 09:20 |
Kyoto |
Kyoto Univ. |
An Investigation on Generic Properties of People Flow Database Mikio Sasaki (DENSO), Yoshihide Sekimoto (Univ. of Tokyo) ITS2013-69 |
Recently, many people flow databases are being made and widely used not only domestically but also abroad. Practically, ... [more] |
ITS2013-69 pp.7-12 |
KBSE |
2014-03-07 11:00 |
Okinawa |
Okinawaken-Seinenkaikan |
Event extraction from video data of football games using qualitatve spatio-temporal representation Masaki Sakaida, Takanori Kiyose, Kazuko Takahashi (Kwansei Gakuin Univ.) KBSE2013-92 |
We describe a method of representing relative positional relationship of regions extracted from a video footage of footb... [more] |
KBSE2013-92 pp.79-84 |
NS, IN (Joint) |
2014-03-07 11:40 |
Miyazaki |
Miyazaki Seagia |
Proposal of storing flow data for retrieval of arbitrary spatio-temporal granularity Yoshihiro Tsuji, Yuichi Ohsita, Masayuki Murata (Osaka Univ.) IN2013-176 |
In this paper, we propose a method to monitor and store the traffic information with any spatio-temporal granularity. In... [more] |
IN2013-176 pp.193-198 |
ASN, RCS, NS, SR (Joint) |
2013-07-18 10:20 |
Shizuoka |
Hamamatsu Act City |
[Poster Presentation]
LED array acquisition method based on Spatio-temporal image in Road to Vehicle Visible Light Communication Syunsuke Usui, Takaya Yamazato (Nagoya Univ.), Shintaro Arai (Kagawa National Col. of Tech.), Tomohiro Yendo (Nagaoka Univ. of Tech.), Toshiaki Fujii, Hiraku Okada (Nagoya Univ.) NS2013-37 RCS2013-88 SR2013-25 ASN2013-55 |
In this paper, we focus attention on road-to-vehicle visible light communication(R2V-VLC) in intelligent transport syste... [more] |
NS2013-37 RCS2013-88 SR2013-25 ASN2013-55 pp.19-24(NS), pp.61-66(RCS), pp.27-32(SR), pp.47-52(ASN) |
IN |
2013-04-18 16:15 |
Kyoto |
Kyotofu-Chusho-Kigyo-Kaikan |
[Invited Talk]
Behavioral Pattern Analysis using Position Logs of Social Media Fumitaka Nakahara, Koji Kida (NEC) IN2013-5 |
This lecture describes two methods to identify the behavioral patterns of users from position logs of social media. The ... [more] |
IN2013-5 pp.25-30 |
HCGSYMPO (2nd) |
2012-12-10 - 2012-12-12 |
Kumamoto |
Kumamoto-Shintoshin-plaza |
Comparison of local spatio-temporal features for gesture recognition with RGB-D cameras Ryuta Fukuoka, Kazuhiko Kawamoto, Mayu Horiuchi, Kazushi Okamoto (Chiba Univ.) |
Local-spatio-temporal features have become popular video representation for gesture recognition.These features have been... [more] |
|
ITS, IEE-ITS |
2012-03-15 14:25 |
Tokyo |
|
A Proposal for the Risk Prediction System on the basis of People Flow Mikio Sasaki (DENSO), Tomotaka Usui, Toshikazu Nakamura, Yoshihide Sekimoto (Univ. of Tokyo) ITS2011-57 |
The people flow data is defined as the time series of events each of which is composed of spatio-temporally interpolated... [more] |
ITS2011-57 pp.17-22 |
MI |
2012-01-20 15:35 |
Okinawa |
|
Validation of Spatio-temporal Reconstruction Algorithm Based on DRAMA Using Small Animal Dynamic PET Data Tatsuya Kon, Takashi Obi, Nagaaki Ohyama (Tokyo Inst. of Tech.), Yuichi Kimura (National Inst. of Radiological Sci.) MI2011-155 |
The accuracy of the estimated parametric images is largely dependent on that of the tissue time activity curves (tTACs.)... [more] |
MI2011-155 pp.431-435 |
AP |
2012-01-18 13:20 |
Fukuoka |
Kyushu Inst. of Tech. |
Experimental Study on Spatio-Temporal Channel in Indoor Environments Koshiro Kitao, Tetsuro Imai, Kentaro Saito, Yoshiki Okano, Hiroki Harada, Shunji Miura (NTT DOCOMO) AP2011-152 |
This paper describes characteristics of direct and scattered waves which are extracted from the measurement channel data... [more] |
AP2011-152 pp.37-42 |
NLC |
2011-07-08 16:00 |
Tokyo |
IBM Japan, Ltd. |
Potentials of Web Sensors in Correlation with Earthquake Statistics Shun Hattori (Tokyo Univ. of Tech) NLC2011-19 |
Many researches on mining the explosively-growing Web, especially CGM (Consumer Generated Media) such as Weblogs, for kn... [more] |
NLC2011-19 pp.101-106 |
PRMU, HIP |
2010-03-16 10:50 |
Kagoshima |
Kagoshima Univ. |
Action Recognition by Combining Features Using Multiple Kernel Learning Akitsugu Noguchi, Keiji Yanai (Univ. of Electro-Comm.) PRMU2009-286 HIP2009-171 |
Recognizing action in video is very useful, because it can be applied to many kinds of applications.
Action recognition... [more] |
PRMU2009-286 HIP2009-171 pp.311-316 |