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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
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Committee Date Time Place Paper Title / Authors Abstract Paper #
ET, IPSJ-CLE 2024-06-15
09:55
Osaka Kindai University, Higashi-Osaka Campus
(Primary: On-site, Secondary: Online)
Method for Identifying Logic Errors by Clustering Source Codes with a Focus on Program Structure
Yuta Harada, Soichiro Sato (Tokyo Gakugei Univ.), Shoichi Nakamura (Fukushima Univ.), Youzou Miyadera (Tokyo Gakugei Univ.) ET2024-7
(To be available after the conference date) [more] ET2024-7
pp.8-15
SS 2024-03-09
10:35
Okinawa
(Primary: On-site, Secondary: Online)
Considerations of an Automatic Feedback Method for a Learner's Editing Source Codes in Programming Exercises -- Guided Feedback Using Edit Transition Graphs of a Model Answer Program --
Yuki Sawada, Yoshinari Hachisu, Atsushi Yoshida, Hiroaki Kuwabara (Nanzan Univ.) SS2023-78
In programming exercises, it is difficult for some learners to complete source codes by themselves. Many researches on a... [more] SS2023-78
pp.174-179
SIP, SP, EA, IPSJ-SLP [detail] 2024-03-01
09:30
Okinawa
(Primary: On-site, Secondary: Online)
A Study on Environmental Sound Synthesis in the Case of Pausing in Virtual Walking Applications
Hiroshi Nishijima, Wakuto Morita, Daisuke Saito, Nobuaki Minematsu (UTokyo) EA2023-96 SIP2023-143 SP2023-78
In this study, we investigated the synthesis of environmental sounds for pausing states in virtual walking applications ... [more] EA2023-96 SIP2023-143 SP2023-78
pp.208-213
CCS 2023-03-27
09:20
Hokkaido RUSUTSU RESORT Learning Commutative Vector Field in Latent Space of Deep Generative Model
Takehiro Aoshima, Takashi Matsubara (Osaka Univ.) CCS2022-83
Deep generative models, such as generative adversarial networks (GANs), are known for generating high-quality images. Ho... [more] CCS2022-83
pp.113-116
ET 2023-03-14
14:35
Tokushima Tokushima University
(Primary: On-site, Secondary: Online)
Mountaineering Hazard Prediction Training using locally editting videos
Masaya Abe (Nihon Univ), Satoshi Shimad (Nihon Univ.) ET2022-72
(To be available after the conference date) [more] ET2022-72
pp.79-84
SIS 2022-12-05
13:50
Osaka
(Primary: On-site, Secondary: Online)
A Feasibility Study on Video Conferencing Recordings Automatic Editing System Using Silence Part Removal Based on Audio Signal Analysis
Takashi Mishima, Ippei Araki, Hiroshi Tsutsui, Takeo Ohgane (Hokkaido Univ.) SIS2022-24
This paper presents a video conferencing recordings automatic editing system using silence part removal based on audio s... [more] SIS2022-24
pp.7-10
EID, ITE-3DMT, ITE-IDY, IEE-OQD, SID-JC [detail] 2022-10-28
13:10
Tokyo Kikai-Shinko-Kaikan Bldg.
(Primary: On-site, Secondary: Online)
Bumpy Appearance Editing Method of Object Surfaces in Digital Images
Yusuke Manabe, Midori Tanaka, Takahiko Horiuchi (Chiba Univ.) EID2022-1
Appearance is one of the elements constituting the unique visual aspect of an object. However, previous studies have sho... [more] EID2022-1
pp.1-4
IMQ 2022-10-21
13:40
Aichi E and S Building, Higashiyama Campus, Nagoya Univ. HEVC Image Quality Assessment for eXtended Reality (XR) Based on 360 Degrees Camera
Norifumi Kawabata (Computational Imaging Lab) IMQ2022-12
360 degrees video camera is often used in our life, event, information communication service, and Virtual Reality (VR), ... [more] IMQ2022-12
pp.7-12
AI 2022-07-04
10:00
Hokkaido
(Primary: On-site, Secondary: Online)

Syuusuke Ishihata, Ryohei Orihara, Yuichi Sei, Yasuyuki Tahara, Akihiko Ohsuga (UEC) AI2022-1
In recent years, research has been conducted to apply StyleGAN to the task of editing images according to the content of... [more] AI2022-1
pp.1-6
NC, IBISML, IPSJ-BIO, IPSJ-MPS [detail] 2022-06-28
10:05
Okinawa
(Primary: On-site, Secondary: Online)
Learning Attribute Vector Fields in GAN Latent Space
Takehiro Aoshima, Takashi Matsubara (Osaka Univ.) NC2022-12 IBISML2022-12
Generative Adversarial Networks (GANs) can generate a great variety of high-quality images.
Despite their ability to g... [more]
NC2022-12 IBISML2022-12
pp.94-99
KBSE 2022-03-10
13:05
Online Online (Zoom) A Study of Learner Errors on State Machine Modeling \Based on Eye Information and Editing Logs
Takuma Kimura, Ogata Shinpei (Shinshu Univ.), Makihara Erina (Doshisha Univ.), Okano Kozo (Shinshu Univ.) KBSE2021-55
In state machine diagram education, learners sometimes make errors when solving modeling tasks. Educators should support... [more] KBSE2021-55
pp.84-89
ICSS, IPSJ-SPT 2022-03-08
11:20
Online Online A Method for Content Rights Succession and Editing Control Extended to Multi-dimensional Mesh Structures
Shinjiro Izumi (TUS), Masaki Inamura (Hiroshima City Univ.), Keiichi Iwamura (TUS) ICSS2021-71
In recent years, the CGM media, which is created and distributed by consumers themselves, has become popular, such as Yo... [more] ICSS2021-71
pp.72-77
ET 2021-03-06
15:00
Online Online Comparison of Learning State between Visual Programming Language and Text Programming Language
Katsuyuki Umezawa (Shonan Inst. of Tech.), Takashi Ishida (Takasaki City Univ. of Economics), Makoto Nakazawa (Junior College of Aizu), Shigeichi Hirasawa (Waseda Univ.) ET2020-72
In recent years, programming beginners have begun to use visual programming languages such as Scratch. After that, they ... [more] ET2020-72
pp.115-120
MVE 2020-10-12
15:40
Online Online+Onsite
(Primary: Online, Secondary: On-site)
Proposal of a smartphone video editing tool taplin using a linear editing system for cutting to match the BGM
Hajime Itsukaichi, Saki Sakaguchi, Takeshi Naemura (UT) MVE2020-24
There is a growing demand for smartphone video editing tools to match the BGM in order to share videos on SNS. However, ... [more] MVE2020-24
pp.17-22
AI 2019-11-28
13:55
Fukuoka   Realizing a Video Editing System for Flipped Classrooms with AR Puppets
Hitomi Kataoka, Tadachika Ozono, Toramatsu Shintani (NIT) AI2019-32
In this study, we develop a new video editing system for flipped classrooms with AR (Augmented Reality) technologies. We... [more] AI2019-32
pp.13-18
NLC, IPSJ-NL, SP, IPSJ-SLP
(Joint) [detail]
2018-12-12
17:00
Tokyo Waseda Univ. Nishiwaseda Campus Application of Neural Title Generation as News Editing Assistant
Kazuma Murao (Yahoo Japan Corporation), Hayato Kobayashi (Yahoo Japan Corporation/RIKEN AIP), Taichi Yatsuka, Ken Kobayashi, Takeshi Masuyama, Tatsuru Higurashi, Yoshimune Tabuchi (Yahoo Japan Corporation) NLC2018-34
There have been many studies on automatic title generation based on neural networks.
However, there are a number of cha... [more]
NLC2018-34
pp.109-115
ET 2018-07-14
14:55
Hokkaido National Institute of Technology, Hakodate College Development of a Machine Learning Model for Estimating Learning Situations Based on Source Code Editing History
Shota Kawaguchi, Yoshiki Sato (Gakugei Univ.), Hiroki Nakayama (Waseda Univ.), Shoichi Nakamura (Fukushima Univ.), Youzou Miyadera (Gakugei Univ.) ET2018-27
During the process of the programming course, teachers want to estimate the learning situation of students. Our findings... [more] ET2018-27
pp.47-52
SIS 2017-12-15
11:10
Tottori Tottori Prefectural Center for Lifelong Learning Improvement of passing-by object removal using time-series images
Hiroaki Ishino, Mami Nagoya, Tomoaki Kimura, Hiroyuki Tsuji (KAIT) SIS2017-51
Moving objects such as passersby, automobiles, etc. sometimes happen to be in the photo, when taking pictures of landsca... [more] SIS2017-51
pp.101-106
ET 2017-03-10
14:25
Ehime National Institute of Technology, Niihama College Development of Writing Support Editor with a Vocabulary Candidate Display Function by Word2vec
Sora Tochimoto, Yoshiro Imai (Kagawa Univ.) ET2016-125
Although it becomes more popular and necessary to write specific documents, it remains difficult for beginners to descri... [more] ET2016-125
pp.179-184
EID, ITE-IDY, ITE-HI, ITE-3DMT, IEE-OQD, SID-JC [detail] 2016-10-28
13:00
Tokyo Kikai-Shinko-Kaikan Bldg Object Surface Retexturing System using Perceptual Quality Indexes
Yoshimitsu Yamada, Wataru Suzuki, Keita Hirai, Takahiko Horiuchi (Chiba Univ.) EID2016-5
This Report presents an intuitive retexturing system for editing object surfaces in images interactively. For the intuit... [more] EID2016-5
pp.1-4
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