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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| ITE-ME, EMM, IE, LOIS, IEE-CMN, IPSJ-AVM [detail] | 2022-09-13 14:20 |
Online | Keio Univ. Yagami Campus (Hybrid) (Primary: Online, Secondary: On-site) |
An investigation of video synchronization for multiple remote audiences participating in a live-streamed event Takayuki Kurozumi, Yuka Serizawa, Keisuke Hasegawa, Shinji Fukatsu (NTT)  LOIS2022-12 IE2022-34 EMM2022-40 |
In recent years, due in part to the Corona Disaster, there has been an increase in the number of opportunities to watch ... [more] | LOIS2022-12 IE2022-34 EMM2022-40 pp.13-18 |
| TL | 2022-07-10 14:45 |
Online | Online | Narrative Inquiry by an In-Service Elementary Foreign Language Teacher and Her Supervisor Using VEO, a Classroom Analysis Tool Tomoyuki Narumi, Tatsuhiro Yoshida (Hyogo Univ. of Education) TL2022-6 |
This study analyzed the narratives of an in-service teacher, who conducted research on elementary school foreign languag... [more] | TL2022-6 pp.30-35 |
| IMQ | 2022-05-27 14:00 |
Tokyo | Animal Video Retrieval System Using Image Recognition Chinatsu Watanabe (Kogakuin Univ.), Mayu Kaneko (Mizuho Research & Technologies), Atsumu Harada, Naiwala P. Chandrasiri (Kogakuin Univ.) IMQ2022-2 |
In general, the search function in a video sharing service site evaluates the relevance of a search query to the title, ... [more] | IMQ2022-2 pp.7-11 |
|
| PRMU, IPSJ-CVIM | 2022-05-13 11:00 |
Aichi | Toyota Technological Institute | Relationship between Perceptual and Image Qualities of Training and Reconstruction Images in Video Super-Resolution Hiroshi Mori, Norimichi Ukita (TTI) PRMU2022-5 |
Super resolution is a technique for converting low-resolution images into high-resolution images. Recent research has sh... [more] | PRMU2022-5 pp.24-29 |
| HIP, ITE-HI, ASJ-H, VRPSY [detail] | 2022-02-27 10:20 |
Online | Online | Study of Stress Relief Service for Elderly People at Home Using Videos Hiro Horie, Sinan Chen, Masahide Nakamura (Kobe Univ.), Kiyoshi Yasuda (OIT) HIP2021-59 |
In recent years, Japan has been facing a super-aging society, and the number of elderly people living at home (including... [more] | HIP2021-59 pp.1-6 |
| IE, ITS, ITE-AIT, ITE-ME, ITE-MMS [detail] | 2022-02-21 14:40 |
Online | Online | A Note on Inspection Action Classification Using First and Third Person Video of Engineers Inspecting Bridges Tsuyoshi Masuda, Keisuke Maeda, Ren Togo, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.) |
In this paper, we propose an inspection action classification method using first and third person videos of engineers in... [more] | |
| MVE, IPSJ-CVIM, VRSJ-SIG-MR | 2022-01-27 13:40 |
Online | Online | Video Analysis of Catcher's Movement in Pitch Framing Yamato Kanno, Hidehiko Shishido, Yoshinari Kameda, Itaru Kitahara (Univ. of Tsukuba) MVE2021-30 |
Pitch Framing is one of the catcher's techniques that has attracted attention in baseball. It works when catching a pitc... [more] | MVE2021-30 pp.1-6 |
| 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 |
| IN, IA (Joint) |
2021-12-17 13:25 |
Hiroshima | Higashi-Senda campus, Hiroshima Univ. (Primary: On-site, Secondary: Online) |
[Short Paper]
A Study on Live Video Processing Time Reduction Methods for Privacy-oriented Video Management Satoru Matsumoto, Tomoki Yoshihisa (Osaka Univ.), Tomoya Kawakami (Fukui Univ.), Yuuichi Teranishi (NICT) IA2021-44 |
In recent years, public cameras have been installed everywhere. The videos taken are often set up for confirmation accor... [more] | IA2021-44 pp.65-66 |
| HCGSYMPO (2nd) |
2021-12-15 - 2021-12-17 |
Online | Online | Estimation and Classification of Short Video Viewers' Emotions by Random Forest Using Bio-signals Ryuichi Inoue, Mutsumi Suganuma, Wataru Kameyama (Waseda Univ.) |
The authors have been conducting a research of video viewers’ emotion estimation by machine learning using bio-signals t... [more] | |
| ET | 2021-10-30 15:55 |
Online | Online | Construction and Operation for Online Admissions Interview System Shinobu Hasegawa, Koichi Ota, Yoichi Tajima, Masaki Tsuji, Kaoru Shimizu, Yasuo Tan (JAIST) ET2021-19 |
To respond to the rapid changes in education triggered by the COVID-19, the Japan Advanced Institute of Science and Tech... [more] | ET2021-19 pp.19-22 |
| PRMU | 2021-10-09 10:45 |
Online | Online | Moving Scene Text Detection Using Synthetic Scene Text Video for Training Zhiyuan Xie, Hideaki Goto, Takuo Suganuma (Tohoku Univ.) PRMU2021-21 |
In computer vision areas, scene text is valuable information for applications including scene understanding, autopilot, ... [more] | PRMU2021-21 pp.28-33 |
| IA, ICSS | 2021-06-22 10:25 |
Online | Online | Performance Evaluation of MPTCP Scheduler for Video Streaming in Mobile Networks Masayoshi Kondo, Dirceu Cavendish, Daiki Nobayashi, Takeshi Ikenaga (KIT) IA2021-12 ICSS2021-12 |
With the increasing of the demand for video contents, the amount of video streaming traffic occupies the large portion o... [more] | IA2021-12 ICSS2021-12 pp.62-67 |
| IE, SIP, BioX, ITE-IST, ITE-ME [detail] | 2021-06-03 14:45 |
Online | Online | A Study on Polynomial Functions for Optical Flow Estimation Joi Shimizu, Heming Sun, Jiro Katto (Waseda Univ.) SIP2021-1 BioX2021-1 IE2021-1 |
Recently, many deep learning based models for optical flow estimation have been proposed. Optical flow estimation is uti... [more] | SIP2021-1 BioX2021-1 IE2021-1 pp.1-5 |
| PN | 2021-03-02 10:00 |
Online | Online | A Real-Time Multi-Viewpoint Video Distribution Method Using a Dynamic Camera Clustering Method Based on Frame Meta-information Saeko Maeda, Yutaka Nasu, Satoru Okamoto, Naoaki Yamanaka (Keio Univ.) PN2020-50 |
With the development of image processing technology, information and communication technology, and the launch of 5G serv... [more] | PN2020-50 pp.51-57 |
| MVE, IMQ, IE, CQ (Joint) [detail] |
2021-03-03 15:55 |
Online | Online | A Consideration on Estimation Accuracy Improvement of Unlearned Data in Video Viewer's Emotion Estimation Using Bio-signals Misato Matsumura, Mutsumi Suganuma, Wataru Kameyama (Waseda Univ.) CQ2020-120 |
We are conducting a research of video viewer’s emotion estimation from bio-signals using deep neural network in order to... [more] | CQ2020-120 pp.67-72 |
| HIP, VRSJ | 2021-02-19 14:45 |
Online | Online | [Invited Talk]
Non-contact vital sign measurement Norihiro Sugita, Makoto Yoshizawa (Tohoku Univ.) HIP2020-89 |
Pulse wave obtained from a video (video plethysmography) can be used not only for health management but also for mental ... [more] | HIP2020-89 pp.71-72 |
| AI | 2020-12-10 13:30 |
Shizuoka | Online and HAMAMATSU ACT CITY (Primary: On-site, Secondary: Online) |
Study on Depth Estimation from 4D Light Field Videos Takahiro Kinoshita, Satoshi Ono (Kagoshima Univ.) AI2020-1 |
Depth (disparity) estimation from 4D Light Field (LF) images has been a research topic for the last couple of years. Mos... [more] | AI2020-1 pp.1-6 |
| MICT, MI | 2020-11-04 11:20 |
Online | Online | Automatic Classification of Pancreatic Cancer and Analysis of Video Frames Using 3D CNN and Attention Sota Kato, Kazuhiro Hotta (Meijo Univ.), Hiroki Kawashima, Takuya Ishikawa, Hirotaka Suzuki (Nagoya Univ.) MICT2020-12 MI2020-38 |
The purpose of this research is to classify pancreatic cancer from videos and to analyze an important location for the c... [more] | MICT2020-12 MI2020-38 pp.24-28 |
| MVE | 2020-10-12 16:20 |
Online | Online+Onsite (Primary: Online, Secondary: On-site) |
[Short Paper]
Searching for meaningful content distribution services using 5th generation mobile communication systems Takenori Hara (DNP) MVE2020-25 |
From spring 2020, 5th generation mobile communication system (5G) has begun. The characteristics of 5G are "high speed a... [more] | MVE2020-25 pp.23-24 |
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