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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 22  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
AIT, IIEEJ, AS, CG-ARTS 2026-03-02
12:04
Tokyo Tokyo Polytechnic Univ. (Nakano) Visualization System for Music of Violin and Piano Duets
Ikuko Sawaya, Momoko Maezawa, Takahiro Mochizuki, Kazuteru Komine, Yasuhito Sawahata, Masaru Miyazaki (NHK STRL)
NHK Science & Technology Research Laboratories (NHK STRL) is developing a novel music visualization system that can pres... [more] AIT2026-53
pp.56-57
AIT, IIEEJ, AS, CG-ARTS 2025-03-10
15:38
Tokyo Tokyo Polytechnic Univ. (Nakano) Visualization Technology for Romantic Music
Ikuko Sawaya, Momoko Maezawa, Naotsuna Fujimori, Kazuteru Komine, Yasuhito Sawahata, Masaru Miyazaki (NHK)
NHK Science & Technology Research Laboratories (NHK STRL) is developing a novel music visualization system that can pres... [more] AIT2025-87
pp.174-177
AIT, IIEEJ, AS, CG-ARTS 2025-03-10
10:35
Tokyo Tokyo Polytechnic Univ. (Nakano) Assessing the Impact of Anime on Consumer Behavior -- A Quasi-Experimental Study of "Bocchi the Rock!" --
Ren Shimokawara, Hiroyuki Egami (Nihon Univ.)
While the influence of digital media on human consumption behavior attracts both policy and general interest, as seen in... [more] AIT2025-98
pp.215-218
AIT, IIEEJ, AS, CG-ARTS 2024-03-05
14:06
Tokyo Tokyo University of Technology A Comparative Study of the Cultural Diffusion of City Pop and Digital Era Music Consumption Patterns
Huang Yelin, Kenichiro ITO (TUT)
In recent years, City Pop has garnered global attention due to its distinctive musicality and powerful rhythms. The purp... [more] AIT2024-67
pp.123-126
AIT, IIEEJ, AS, CG-ARTS 2023-03-06
14:50
Tokyo Tokyo Polytechnic Univ. (Nakano)
(Primary: On-site, Secondary: Online)
Part-by-Part Similarity Analysis for Similar Music Retrieval
Keito Nakayama, Tomokazu Ishikawa (Toyo Univ.)
In this study, the similarity of subjectively similar songs was calculated by analyzing their constituent parts, with th... [more] AIT2023-66
pp.115-118
AIT, IIEEJ, AS, CG-ARTS 2022-03-08
10:30
Online Online Analysis and visualization of pitch-by-pitch vocalization time of J-POP vocals
Runa Matsumoto, Takayuki Ito (Ocha Univ.)
Comparing previous and recent J-POP hit songs, the authors discuss the hypothesis that there are more leaps in phrases i... [more] AIT2022-101
pp.247-249
AIT, IIEEJ, AS, CG-ARTS 2020-03-13
11:20
Tokyo Tokyo University of Technology
(Cancelled)
Structure Analysis on Anime Idol Music Video with Association Rule
Rena Aizawa, Akinori Ito (TUT)
In this research, we analyzed music videos of "Maji LOVE 1000%", "God's S.T.A.R.", and "Immortal Inferno" in "Utano☆Prin... [more] AIT2020-87
pp.131-132
AIT, IIEEJ, AS, CG-ARTS 2019-03-12
14:00
Tokyo Waseda Univ. Analysis of auditory characteristics of distorted music
Yuma Ono, Keiko Ochi, Yasunari Obuchi (Tokyo Univ. Tech.)
Recent commercial trends for high sound pressure music brought about the modification of music so as to increase the sou... [more] AIT2019-147
pp.345-346
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
HI, VRPSY 2017-11-25
11:25
Ishikawa Kanazawa Institute of Technology Analysis of Harmonious-Characteristics of animation and sound features for human emotion in AMV
Mori Kento, Kotani Kazunori (JIST)
AMV(Anime Music Video ) was created by Amateur editors from 1980s.The videos are often based on existing anime footage a... [more] HI2017-79
pp.47-50
AIT, IIEEJ, AS, CG-ARTS 2017-03-14
13:00
Tokyo Ochanomizu Univ. An Association Analysis on Music, Lyrics and Cinematography Elements of Group Singing Scenes in American Musical Drama
Rumiko Fukada, Akinori Ito, Ken'ichiro Ito (TUT)
Production of a school musical drama movie has to plan the construction of the music, the lyrics and the appropriate cin... [more] AIT2017-120
pp.265-266
AIT, IIEEJ, AS, CG-ARTS 2017-03-14
13:00
Tokyo Ochanomizu Univ. Visualization of music based on lyrics and song characteristics
Nozomi Midorikawa, Toru Kano, Yuriko Takeshima (Tokyo Univ. of Tech.)
In recent years, along with digitization of music, it has become possible to carry a large number of music with portable... [more] AIT2017-123
pp.271-272
CE, MMS, AIT, HI, ME, IEICE-ITS, IEICE-IE [detail] 2017-02-20
11:30
Hokkaido Hokkaido Univ. A note on quantification of relationship between users and musical pieces using graph structure analysis (2) -- Verification of using link prediction --
Shohei Kinoshita, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.)
This paper presents a quantification method of relationship between users and musical pieces.Our proposed relationship i... [more] MMS2017-2 CE2017-2 HI2017-2 ME2017-26 AIT2017-2
pp.31-34
AIT, IIEEJ, AS 2016-03-09
10:40
Tokyo Tokyo Polytechnic Univ. Research on Integrated visualization for cutting, sheet-music and lyrics of musical drama in pre-production phase
Rumiko Fukada, Akinori Ito, Ken'ichiro Ito (TUT)
The musical which explains a story by lyrics has to plan the musical structure, a storyboard, lyrics and the picture con... [more] AIT2016-69
pp.93-96
HI, IEICE-IE, AIT, IEICE-ITS, ME, MMS, CE [detail] 2016-02-22
16:00
Hokkaido Hokudai A Note on Quantification of Relationship between Users and Musical Pieces Using Graph Structure Analysis
Shohei Kinoshita, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.)
This paper presents a quantification method of relationship between users and musical pieces using graph structure analy... [more] MMS2016-25 CE2016-25 HI2016-25 ME2016-58 AIT2016-25
pp.209-212
HI, IEICE-IE, AIT, IEICE-ITS, ME, MMS [detail] 2015-02-23
11:00
Hokkaido Hokudai A Note on Classification of Individual Favorite Musical Pieces Utilizing EEG Signals during Listening to Music -- Performance Improvement via CCA Considering Class Information --
Ryosuke Sawata, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.)
This paper presents a new method using individual EEG signals for improving his/her favorite music classification. Our p... [more] MMS2015-21 CE2015-21 HI2015-19 ME2015-19 AIT2015-19
pp.179-184
HI 2014-03-04
14:35
Tokyo Tokyo University of Agriculture and Technology Analysis of brain activity during listening to music and expressing impression of them by drawing
Mayu Kakegawa (Grad. School of Bionics, Comp. and Media Sci.Tokyo univ. of Tech), Tetsuya Natori, Masayuki Kikuchi, Yuko Masakura, Tomoki Itamiya, Yukiko Nishino, Mitsuharu Ogiya, Koichi Sakao, Naoki Wakabayashi (Tokyo Univ. of Tech.)
This study attempted to examined of brain activity during listening to music and expressing impression of them by drawin... [more] HI2014-34
pp.25-28
IEICE-ITS, IEICE-IE, AIT, HI, ME [detail] 2013-02-19
10:00
Hokkaido Hokkaido Univ. A Note on Trend Detection in Popular Music Database
Ryota Nakanishi, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.)
This paper presents a method for detecting musical trend in popular music database.
The proposed method utilizes Topics... [more]
HI2013-15 ME2013-43 AIT2013-15
pp.107-110
ME 2013-02-16
11:00
Kanagawa Kanto Gakuin Univ. A study of automatic recommendation system of music matching image impression
Ryutaro Niho, Saito Yasuyuki (Kisarazu NCT)
Back Ground Music (BGM) is used to enhance the impression of the image. However, we have no method of automatic recommen... [more] ME2013-7
pp.23-26
ME 2012-02-18
10:45
Kanagawa Kando Gakuin Univ. A study of automatic recommendation system of music matching input image
Ryutaro Niho, Yasuyuki Saito (Kisarazu NCT)
Back Ground Music (BGM) is used to enhance the impression of the image. However, we have no method of automatic recommen... [more] ME2012-14
pp.53-56
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