Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
IE, CS, IPSJ-AVM [detail] |
2023-12-12 11:15 |
Fukuoka |
Kyushu Institute of Technology (Primary: On-site, Secondary: Online) |
Investigation of Haze Removal Processing Method for Visual IoT Regional Monitoring System Shumpei Yoshikawa, Ryota Kai, Hinako Fukuki (Kyutech), Yuki Murakami, Ken T. Murata (NICT), Hideaki Kawano (Kyutech) CS2023-88 IE2023-30 |
The authors conduct an experimental initiative utilizing elevated video IoT for monitoring rivers and traffic to detect ... [more] |
CS2023-88 IE2023-30 pp.34-39 |
EMM |
2023-03-02 14:30 |
Nagasaki |
Fukue culture hall (Primary: On-site, Secondary: Online) |
[Poster Presentation]
Watermark Extraction Method Using BSS
-- Improving Image Quality Using Inter-frame Difference -- Nao Harada, Rinka Kawano, Masaki Kawamura (Yamaguchi Univ.) EMM2022-80 |
To improve the quality of stego-videos, we consider embedding method of watermarks in blocks where the differences betwe... [more] |
EMM2022-80 pp.66-71 |
PRMU |
2021-12-16 16:45 |
Online |
Online |
Supervoxel-based Explanation for Action Recognition Ying Ji (Nagoya Univ.), Yu Wang (Ritsumeikan Univ.), Kensaku Mori (Nagoya Univ.), Jien Kato (Ritsumeikan Univ.) PRMU2021-42 |
Deep neural network has shown remarkable performance in various areas, including image classification, action recognitio... [more] |
PRMU2021-42 pp.98-100 |
ET |
2021-11-06 13:40 |
Online |
Online |
Analysis of behaviors by students in cooperative learning for video lectures (Sixth report) Eiji Watanabe (Konan Univ.), Takashi Ozeki (Fukuyama Univ.), Takeshi Ozeki (Kindai Univ.) ET2021-26 |
In this report, we discuss a method for the estimation of the face direction of students in the cooperative learning. He... [more] |
ET2021-26 pp.25-30 |
LOIS, IPSJ-SPT, IPSJ-CN |
2021-05-11 11:00 |
Online |
Online |
Analysis of noting behaviors by students in video lectures (Fifth report) Eiji Watanabe (Konan Univ.), Takashi Ozeki (Fukuyama Univ.), Takeshi Kohama (Kindai Univ.) LOIS2021-10 |
In this report, we analyze learning behaviors of students for video lectures assuming real-time lectures. Here, we assum... [more] |
LOIS2021-10 pp.54-59 |
LOIS, IPSJ-SPT, IPSJ-CN |
2021-05-11 11:25 |
Online |
Online |
Analysis of behaviors by students in cooperative learning for video lectures (Fifth report) Eiji Watanabe (Konan Univ.), Takashi Ozeki (Fukuyama Univ.), Takeshi Kohama (Kindai Univ.) LOIS2021-11 |
In this report, we propose a model for evaluating the interaction between behaviors of students and quantify the strengt... [more] |
LOIS2021-11 pp.60-65 |
ICM, LOIS |
2021-01-21 13:10 |
Online |
Online |
A Study of Learning Data Generation for a Sound-based Life Activity Estimation System Using Video Images Kentaro Matsuda, Ken Tsutsuguchi, Manabu Okamoto (Sojo Univ) ICM2020-36 LOIS2020-24 |
The number of HIKIKOMORI has been increasing year by year, and the number of households that cannot make ends meet has b... [more] |
ICM2020-36 LOIS2020-24 pp.10-14 |
MICT, MI |
2020-11-04 15:50 |
Online |
Online |
[Short Paper]
An Experimental Study on Color Laparoscopic High-Definition Video Quality Assessment Including Super-resolution Norifumi Kawabata (Tokyo Univ. of Science), Toshiya Nakaguchi (Chiba Univ.) MICT2020-19 MI2020-45 |
After considering medical image analysis support, it is one of importance factors to assess high-definition image qualit... [more] |
MICT2020-19 MI2020-45 pp.60-61 |
MI, IE, SIP, BioX, ITE-IST, ITE-ME [detail] |
2020-05-29 14:30 |
Online |
Online |
A method for analyze causes of deterioration of predict quality when Deep Learning is applied to instance segmentation Tomonori Kubota, Takanori Nakao, Masafumi Katoh, Eiji Yoshida, Hidenobu Miyoshi (Fujitsu Lab.) SIP2020-14 BioX2020-14 IE2020-14 MI2020-14 |
In this paper, we propose a method to analyze the cause of deterioration of prediction accuracy in instance segmentation... [more] |
SIP2020-14 BioX2020-14 IE2020-14 MI2020-14 pp.67-72 |
IE, IMQ, MVE, CQ (Joint) [detail] |
2020-03-06 14:50 |
Fukuoka |
Kyushu Institute of Technology (Cancelled but technical report was issued) |
A high-compression video coding method for video analysis using Deep Learning Tomonori Kubota, Takanori Nakao, Eiji Yoshida (Fujitsu Lab.) IMQ2019-39 IE2019-121 MVE2019-60 |
In this paper, we propose a high-compression video coding method for video analysis using Deep Learning. The method anal... [more] |
IMQ2019-39 IE2019-121 MVE2019-60 pp.121-126 |
MI |
2020-01-29 16:20 |
Okinawa |
OKINAWAKEN SEINENKAIKAN |
Surgical tool segmentation from laparoscopic images using laparoscopic image syntheses and deep learning Takuya Ozawa, Yuichiro Hayashi, Hirohisa Oda, Masahiro Oda (Nagoya Univ.), Takayuki Kitasaka (Aich Ins. of Tech.), Nobuyoshi Takeshita, Masaaki Ito (NCC East), Kensaku Mori (Nagoya Univ.) MI2019-94 |
This paper proposes a surgical tool segmentation method from laparoscopic images using image synthesis and deep learning... [more] |
MI2019-94 pp.129-134 |
PRMU, MI, IPSJ-CVIM [detail] |
2019-09-04 16:25 |
Okayama |
|
Inter-frame interpolation by height constraint for sequential human silhouette images
-- Application to forensic gait analysis under low frame-rate condition -- Daisuke Imoto, Kenji Kurosawa, Masakatsu Honma, Ryo Yokota, Manato Hirabayashi, Yoshinori Hawai (NRIPS) PRMU2019-19 MI2019-38 |
Boundary information is important for defining the shape of an object or a person as a first approximation, and widely u... [more] |
PRMU2019-19 MI2019-38 pp.43-48 |
CNR |
2019-06-13 16:40 |
Tokyo |
|
Cloud-based VSLAM for Robotics utilizing Adaptive Video Streaming Natsuki Kai, Takahiro Shiroshima, Hiroshi Yoshida (NEC) CNR2019-9 |
Cloud sensing that collects enormous sensor data over cloud network and recognizes around sensors' environments by power... [more] |
CNR2019-9 pp.43-48 |
HPB (2nd) |
2019-02-15 15:25 |
Tokyo |
|
Sleeper State Estimation System Using an Infrared Camera and Differential Data Analysis Masashi Nakazawa, Masayuki Iwai (TDU) |
In this research, we aim to create a state estimation system for sleepers based on data measured from video images taken... [more] |
|
SIS, ITE-BCT |
2018-10-25 16:30 |
Kyoto |
Kyoto University Clock Tower Centennial Hall |
[Invited Talk]
Freeing Computer Vision from Its Fundamental Limits Ko Nishino (Kyoto Univ.) SIS2018-16 |
In this talk, I will discuss our efforts towards enabling computer vision to break free from conventional limitations im... [more] |
SIS2018-16 pp.63-67 |
IMQ |
2018-10-19 14:05 |
Kyoto |
Kyoto Institute of Technology |
Evaluation of Imaging Method by the Video Coding Efficiency and Its Analysis Kenji Sugiyama, Go Kasahara (Seikei Univ.) IMQ2018-12 |
In color imaging, single sensor system with color filter array (CFA) is popular, especially with Bayer CFA. The improvem... [more] |
IMQ2018-12 pp.7-12 |
CQ, MVE, IE, IMQ (Joint) [detail] |
2018-03-08 10:20 |
Okinawa |
Okinawa Industry Support Center |
Estimation of swimmer position and strokes in a swimming pool overview video Takayuki Tsumita, Hidehiko Shishido, Itaru Kitahara, Yoshinari Kameda (U-Tsukuba) IMQ2017-26 IE2017-118 MVE2017-68 |
We propose a computer vision method to estimate swimmer positions and strokes in a 4K video that covers a whole pool sur... [more] |
IMQ2017-26 IE2017-118 MVE2017-68 pp.11-16 |
WIT |
2017-08-29 09:55 |
Akita |
Faculty of Engineering Science, Akita Univ. |
Disaster information transmission system using a video compression based on the key frame of the sign language.
-- Information acquisition strategy of Deaf people when repeatedly playing sign language video. -- Kota Akiyama (Shibaura Inst. of Tech.), Ken Tsutsuguchi (NTT), Shun-ichi Yonemura (Shibaura Inst. of Tech.) WIT2017-22 |
The event of a disaster such as a major earthquake, there is a need to convey quickly and accurately disaster informatio... [more] |
WIT2017-22 pp.45-50 |
PRMU, IE, MI, SIP |
2017-05-26 10:20 |
Aichi |
|
Deep Subspace Methods
-- Pattern Recognition using Hierarchical Structure of Linear Subspaces -- Hayato Itoh, Atsushi Imiya (Chiba Univ.), Tomoya Sakai (Ngasaki Univ.) SIP2017-18 IE2017-18 PRMU2017-18 MI2017-18 |
We introduce an new geodesic distance between images. This distance is defined as the Wasserstein distance between contr... [more] |
SIP2017-18 IE2017-18 PRMU2017-18 MI2017-18 pp.93-98 |
HCGSYMPO (2nd) |
2016-12-07 - 2016-12-09 |
Kochi |
Kochi City Culture Plaza (CUL-PORT) |
Proposal of First-Person Video Stabilization Based on Ego Attention Yuki Umezawa, Takatsugu Hirayama, Yu Enokibori, Kenji Mase (Nagoya Univ.) |
In recent years, shooting and sharing first-person videos are becoming popular due to the spread of the head mounted wea... [more] |
|