| Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
| IEICE-HIP, HI, VRPSY, ASJ-H [detail] |
2024-02-23
09:30 |
Okinawa |
|
An analysis of factors influencing gaze duration in free viewing
Ryuya Chibata, Yuhei Ohsawa, Takeshi Kohama (Kindai Univ.) |
Recently, there has been considerable interest in studying human eye behavior and eye-gaze distribution to evaluate the ... [more] |
HI2024-4
pp.15-18 |
| IEICE-SIS, BCT |
2023-10-12
13:55 |
Yamaguchi |
HISTORIA UBE
(Primary: On-site, Secondary: Online) |
A study on multiplex transmission of program signals using STL/TTL for Advanced Integrated Services Digital Broadcasting - Terrestrial
Tomohiro Shimazaki, Tetsuya Umenai, Hiroyasu Nagata, Takayuki Nakagawa (NHK) |
We have been studying an advanced studio-to-transmitter link / transmitter-to-transmitter link (STL/TTL) for Advanced In... [more] |
BCT2023-67
pp.1-5 |
| AIT, 3DMT, OSJ-HODIC |
2023-09-08
15:50 |
Tokyo |
Nihon Univ. College of Science and Technology (Surugadai Campus) |
Multi-view DFD (Depth-fused 3D) Rendering with Linear Blending
Yuto Morishita (Tokushima Univ.), Munekazu Date (Tokushima Bunri Univ.), Haruki Mizushina, Shiro Suyama, Kenji Yamamoto (Tokushima Univ.) |
In this study, the number of viewpoints of a stacked multi-view display can be pseudo-increased by combining multi-view ... [more] |
AIT2023-144 3DMT2023-31
pp.21-24 |
| 3DMT |
2023-03-06
15:35 |
Tokyo |
(Primary: On-site, Secondary: Online) |
Super-Multiview Tabletop Display with Two-Dimensional Parallax Based on Time Division Multiplexing Parallax Barrier
Genki Takeuchi, Hideki Kakeya (Univ. of Tsukuba) |
Time-division multiplexing parallax barriers are known to realize high-definition super-multiview stereoscopic displays.... [more] |
3DMT2023-8
pp.29-32 |
| 3DMT |
2023-03-06
15:55 |
Tokyo |
(Primary: On-site, Secondary: Online) |
Dynamic switching of accommodation-invariant regions of approximated super multi-view head-mounted display
Tatsuki Kumagai, Koichiro Fukano, Yasuhiro Takaki (TUAT) |
We have previously proposed an approximated super multi-view display which generates the accommodation-invariant (AI) re... [more] |
3DMT2023-9
pp.33-36 |
| MMS, ME, AIT, IEICE-IE, IEICE-ITS [detail] |
2023-02-21
14:45 |
Hokkaido |
Hokkaido Univ. |
A Note on Improvement of Binauralization Performance Based on Multi-view Learning on 360° Videos
Masaki Yoshida, Ren Togo, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.) |
In this paper, we propose a binaural audio generation method based on multi-view learning using 360◦ videos. Conventiona... [more] |
MMS2023-13 ME2023-33 AIT2023-13
pp.65-69 |
| ME |
2023-02-04
14:15 |
Online |
online |
Three-Dimensional Analysis of Field of View Concentration in Multi-View Video Shooting Support and its application
Keito Kawamura, Shogo Tokai (Univ. of Fukui) |
In acquiring a dynamic 3D situation of a subject scene, a multi-view simultaneous shooting environment using mobile devi... [more] |
ME2023-14
pp.53-56 |
| 3DMT |
2022-10-18
14:45 |
Tochigi |
(Primary: On-site, Secondary: Online) |
Improvement of blur for approximated super multi-view display by bidirectional one-dimensional shifts of viewpoints
Tatsuki Kumagai, Koichiro Fukano, Yasuhiro Takaki (TUAT) |
We have explored the relationships between viewpoint generation schemes and blurs in the retinal images for an approxima... [more] |
3DMT2022-57
pp.69-72 |
| 3DMT |
2022-10-18
15:15 |
Tochigi |
(Primary: On-site, Secondary: Online) |
AR 3D display that can be observed by multiple people simultaneously
Sei Sato, Tomohiro Yendo (Nagaoka Univ. Tech.) |
Transparency 3D displays that have stereoscopic and augmented reality technologies are easy to attract attention of mult... [more] |
3DMT2022-59
pp.77-80 |
| IEICE-SIP, IEICE-BioX, IEICE-IE, IEICE-MI, IST, ME [detail] |
2022-05-20
10:20 |
Kumamoto |
Kumamoto University
(Primary: On-site, Secondary: Online) |
Improvement of Traveling Distance Estimation of a Vehicle from Images Captured by In-Vehicle or CCTV Camera Based on Perspective Projection Model
-- Using Multiple Frames Based on Geometric Constraint --
Daisuke Imoto, Masakatsu Honma, Norimitsu Akiba, Manato Hirabayashi (NRIPS), Shintaro Onozuka (Niigata Prefect. Police Hqrs.), Kimiya Akita (Hokkaido Prefect. Police Hqrs.), Kenji Kurosawa (NRIPS) |
This study focuses on the problem of traveling distance estimation of a straight-ahead vehicle from multiple images capt... [more] |
|
| 3DMT |
2022-03-07
13:25 |
Online |
|
Evaluation of accommodation-invariant region of two-view approximated super multi-view head-mounted display
Atsuya Ogikubo, Yasuhiro Takaki (Tokyo Univ. of Agri. & Tech.) |
We have previously proposed the technique to realize the approximated super multi-view display using two viewpoints, whi... [more] |
3DIT2022-15
pp.57-60 |
| IDY, SID-JC |
2022-03-04
14:20 |
Online |
online |
[Invited Talk]
One-dimensional viewpoint generation for approximated super multi-view head-mounted display
Atsuya Ogikubo, Haruki Kurihara, Yasuhiro Takaki (Tokyo Univ. of Agri. & Tech.) |
We previously proposed the approximated super multi-view head-mounted display to mitigate the vergence-accommodation con... [more] |
IDY2022-15
pp.17-20 |
| AIT, ME, MMS, IEICE-IE, IEICE-ITS [detail] |
2022-02-21
17:00 |
Online |
online |
A Note on Interest level Estimation Using Users' Behavior Information
-- Validating the Effectiveness of Feature Integration with Multiple Users --
Kyohei Kamikawa, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.) |
In this paper, we verify the effectiveness of feature integration with multi-user behavior information for interest leve... [more] |
MMS2022-20 ME2022-45 AIT2022-20
pp.103-107 |
| ME |
2022-02-12
15:30 |
Online |
online |
Morphing based VR space generation from multiple ominidirectional views
Kousuke Deki, Chao Zhang, Shogo Tokai (Univ. of Fukui) |
With the development of VR technology, there is an increasing demand for VR experiences in real scenes. One of the exist... [more] |
ME2022-21
pp.79-82 |
| 3DMT |
2021-10-19
11:15 |
Online |
Online |
Approximated super multi-view display using two viewpoints for head-mounted display
Atsuya Ogikubo, Haruki Kurihara, Yasuhiro Takaki (Tokyo Univ. of Agriculture and Tech.) |
We have previously proposed approximated super multi-view head-mounted display to mitigate the vergence-accommodation co... [more] |
3DIT2021-36
pp.25-28 |
| AIT, 3DMT, OSJ-HODIC |
2021-09-03
16:20 |
Online |
|
Speckleless reconstructed image display at multi-viewpoints using convergent light in CGH
Tatsuya Oshinomi, Masaya Mitobe, Yuji Sakamoto (Hokkaido Univ) |
There is a method to suppress the influence of speckle by converging the object light to a viewpoint in Computer-generat... [more] |
AIT2021-139 3DIT2021-28
pp.25-28 |
| IEICE-LOIS, IEICE-EMM, IEICE-IE, IEE-CMN, ME, IPSJ-AVM [detail] |
2021-08-26
16:50 |
Online |
Online |
[Invited Talk]
On-demand video delivery system for Moodle
Yasuhiko Higaki, Kenich Shimizu, Shigeo Fujimoto, Yohei Matsumoto (Chiba Univ.) |
Moodle, which is used as an LMS in many universities, does not have a fully functional and highly scalable mechanism for... [more] |
|
| IST, ME, IEICE-IE, IEICE-SIP, IEICE-BioX [detail] |
2021-06-04
13:30 |
Online |
Online |
[Invited Talk]
Interdisciplinary research and real-world applications based on multimedia AI technologies
Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.) |
In this paper, we introduce interdisciplinary research and real-world applications based on multimedia AI technologies. ... [more] |
IST2021-25 ME2021-56
pp.73-80 |
| AIT, IIEEJ, AS, CG-ARTS |
2021-03-08
12:00 |
Online |
Online |
Research on Content Development Methods for 4K and 8K Resolution
Huazheng Niu, Terutoshi Tada, Hiroyuki Kose (Toyo Univ.) |
The purpose is to research the development method of contents for 4K and 8K resolution in the field of broadcasting and ... [more] |
AIT2021-38
pp.37-40 |
| IEICE-IE, IEICE-ITS, MMS, ME, AIT [detail] |
2021-02-18
17:05 |
Online |
Online |
A Note on Prediction of Important Scenes in Baseball Videos via Multimodal Variational Autoencoder Using Tweets and Videos
Kaito Hirasawa, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.) |
This paper presents a prediction method of important scenes in baseball videos based on multimodal variational autoencod... [more] |
MMS2021-14 ME2021-14 AIT2021-14
pp.71-75 |