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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 32  /  [Next]  
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Fashion compatibility prediction is suffering from the fact that the labeled dataset may become outdated quickly due to ...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
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