Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
IEICE-ITS, IEICE-IE, ME, AIT, MMS [detail] |
2024-02-20 11:35 |
Hokkaido |
Hokkaido Univ. |
[Special Talk]
Prediction of Event Locations from Urgent Call Using Speech Recognition and Generative AI Masaki Yoshida, Keisuke Maeda, Ren Togo, Takahiro Ogawa, Miki Haseyama (Hokkaido University) |
Operators handling road-related urgent calls are required to pinpoint the event location from information verbally commu... [more] |
MMS2024-26 ME2024-42 AIT2024-26 pp.128-131 |
BCT, IEEE-BT, HOKKAIDO |
2023-07-28 11:25 |
Hokkaido |
Sapporo Business Innovation Center (Primary: On-site, Secondary: Online) |
Image Size Reduction with Coding Difficulty Estimation as Preprocessing for High Compression Coding Yasutaka Matsuo (NHK-Fdn) |
In a system with image size reduction before encoding, coding distortion such as block distortion is likely to occur at ... [more] |
BCT2023-60 pp.45-48 |
HI |
2023-03-15 11:25 |
Online |
|
Estimation from fNIRS measurements of brain regions that contribute to prediction Kazuki Tsuji, Hisashi Yoshida, Takeshi Kohama (Kindai Univ.) |
In order to devise a rehabilitation approach to reinstate driving ability in patients with higher-order cognitive defici... [more] |
HI2023-8 pp.9-12 |
MMS, ME, AIT, IEICE-IE, IEICE-ITS [detail] |
2023-02-21 11:30 |
Hokkaido |
Hokkaido Univ. |
A Note on Accurate Shoot Prediction Considering Players' Spatio-temporal Relations in Soccer Videos
-- Introduction of Complete Bipartite Graph Based on Players' Team Information -- Ryota Goka, Yuya Moroto, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.) |
This paper presents the introduction of a complete bipartite graph based on the team information of players for improvin... [more] |
MMS2023-5 ME2023-25 AIT2023-5 pp.23-28 |
MMS, ME, AIT, IEICE-IE, IEICE-ITS [detail] |
2023-02-21 10:30 |
Hokkaido |
Hokkaido Univ. |
Improving Fashion Compatibility Prediction with Color Distortion Prediction Ling Xiao, Toshihiko Yamasaki (UTokyo) |
Fashion compatibility prediction is suffering from the fact that the labeled dataset may become outdated quickly due to ... [more] |
|
MMS, ME, AIT, IEICE-IE, IEICE-ITS [detail] |
2023-02-22 14:30 |
Hokkaido |
Hokkaido Univ. |
Image Division Based Interframe Prediction Method with Reduced Frame Memory for Ultra-Low-Latency Video-coding Mai Yamaguchi, Matsumura Tetsuya (Nihon Univ.) |
In this paper, we propose a new inter-frame prediction method for Ultra-Low-Latency Video-coding. The proposed method re... [more] |
MMS2023-33 ME2023-53 AIT2023-33 pp.243-246 |
ME, SIP, TOKAI |
2022-12-07 10:00 |
Aichi |
(Primary: On-site, Secondary: Online) |
Improvement of Prediction Performance by Weighted Prediction for Cross-fade Video Yuki Aigase, Kazuto Kamikura (TPU) |
Cross-fade is a special effect used in moving images. H.264, an international standard for video compression, improves e... [more] |
ME2022-86 SIP2022-5 pp.1-4 |
ME, SIP, TOKAI |
2022-12-07 15:00 |
Aichi |
(Primary: On-site, Secondary: Online) |
Comparison of gazing points and gaze prediction of midfielders in soccer training
-- for professional and college student soccer players -- Ryo Isa, Kyosuke Horio, Tsubasa Hirakawa, Takayoshi yamashita, Hironobu Fujiyoshi (Chubu Univ.) |
Gaze behavior in sports has received widespread attention. The purpose is to quantitatively analyze and compare the eye ... [more] |
ME2022-94 SIP2022-13 pp.35-38 |
IIEEJ, AIT |
2022-10-30 14:20 |
Online |
on line |
A study for realizing VR Interface with a sense of agency by a self-view of body
-- Estimation of sensory prediction error during steering angle operation -- Hiroyoshi Komobuchi, Susumu Maruno (OIDAI) |
We propose a predictive error estimating method that makes it possible to separate and associate measured values of the ... [more] |
AIT2022-174 pp.9-12 |
AIT, ME, MMS, IEICE-IE, IEICE-ITS [detail] |
2022-02-21 14:25 |
Online |
online |
A Note on Visual Sentiment Prediction Based on Few-shot Learning using Knowledge Distillation Yingrui Ye, Yuya Moroto, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.) |
The prediction of visual sentiment can be useful to understand users' behaviors. Emotion theories underlying the sentime... [more] |
MMS2022-24 ME2022-49 AIT2022-24 pp.171-175 |
AIT, ME, MMS, IEICE-IE, IEICE-ITS [detail] |
2022-02-21 15:05 |
Online |
online |
A Note on Personalized Saliency Prediction Based on User Similarity Considering Object Information in Images Yuya Moroto, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.) |
This paper presents a personalized saliency map (PSM) prediction method using a small amount of gaze data based on user ... [more] |
MMS2022-26 ME2022-51 AIT2022-26 pp.181-186 |
ME |
2022-02-12 09:45 |
Online |
online |
Safety path planning for autonomous mobile robot based on human behavior prediction Kohei Tanaka, Eiji Nishizawa, Ryotaro Ishii, Shoji Yamamoto (TMCIT) |
Recently, robots have become a familiar partner of our lives. As these robots move autonomously in our living space, saf... [more] |
ME2022-4 pp.13-16 |
BCT, IEICE-SIS |
2021-11-18 11:40 |
Online |
online |
Wireless Channel Prediction with Gaussian Process Yitu Wang (NTT), Takayuki Nakachi (former NTT), Takeru Inoue, Toru Mano, Kudo Riichi (NTT) |
With accurate knowledge of future Channel State Information (CSI), it becomes possible to better manipulate the wireless... [more] |
|
IEICE-IE, IEICE-ITS, MMS, ME, AIT [detail] |
2021-02-18 14:25 |
Online |
Online |
Intersect Prediction of 360 Degree Videos for Movie Map Naoki Sugimoto (Tokyo Univ.), Satoshi Ikehata (NII), Kiyoharu Aizawa (Tokyo Univ.) |
For the construction of Movie Map, which is an interface that combines a moving on the map and interactions on the playi... [more] |
MMS2021-8 ME2021-8 AIT2021-8 pp.37-42 |
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 |
AIT, IIEEJ, AS, CG-ARTS |
2020-03-13 11:20 |
Tokyo |
Tokyo University of Technology (Cancelled) |
Spatio-Temporal Compression of Time-Varying Volume Data for Liquid Animation Based on Motion Compensation Prediction Taiki Shimomura, Takashi Kanai (UT) |
In the liquid simulation, the density or velocity information stored as a volume data can be visualized by volume render... [more] |
AIT2020-82 pp.115-118 |
HI, IEICE-IE, IEICE-ITS, MMS, ME, AIT [detail] |
2020-02-27 09:45 |
Hokkaido |
Hokkaido Univ. (Cancelled) |
Fish body measurement by depth estimation for automatic feeding of aquaculture Kaito Hattori, Nobuo Ezaki, Motonori Saeki (NITTC), Osamu Takahashi (ISE C.L), Tatsuhiko Sakamoto (Mie Univ.) |
In the automatic feeding system for aquaculture such as red sea snapper and yellowtail, the amount of feed is calculated... [more] |
MMS2020-1 HI2020-1 ME2020-29 AIT2020-1 pp.1-5 |
HI, IEICE-IE, IEICE-ITS, MMS, ME, AIT [detail] |
2020-02-27 13:00 |
Hokkaido |
Hokkaido Univ. (Cancelled) |
Video Coding Using Optimal Intra Prediction Mode Estimation by CNN Ryota Yokoyama, Masahiko Tahara (Waseda Univ.), Heming Sun (Waseda Univ./JST), Masaru Takeuchi (Waseda Univ.), Yasutaka Matsuo (NHK), Jiro Katto (Waseda Univ.) |
These days, efficient video coding is required due to spread of video production and viewing, and high definition video.... [more] |
|
ME, IEICE-IE, IEICE-ITS, MMS, HI, AIT [detail] |
2019-02-20 11:30 |
Hokkaido |
Hokkaido Univ. |
A Note on Popularity Prediction of Artists on Music Streaming Services Based on Network Analysis Using Heterogeneous Features Yui Matsumoto, Ryosuke Harakawa, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.) |
This paper presents a novel method to predict popularity of artists on music streaming services based on network analysi... [more] |
MMS2019-34 HI2019-34 ME2019-56 AIT2019-34 pp.301-306 |
IST |
2018-11-28 16:30 |
Tokyo |
Tamachi Campus, TITECH |
[Poster Presentation]
Measuring the advertisement effect based on emotional responses analysis with crowdsourcing Kenta Masui, Genki Okada, Norimichi Tsumura (Chiba Univ.) |
In this study, we estimate ad liking and purchase intent in the natural environment by using crowdsourcing and the remot... [more] |
IST2018-69 pp.21-22 |