| Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
| ME |
2022-02-12
09:00 |
Online |
online |
Construction of an automatic music recommendation system based on user's physical condition
Yuma Ishii, Yasuyuki Saito (NITKC) |
Various streaming services are becoming more and more popular, and users can access many songs by using these services. ... [more] |
ME2022-1
pp.1-4 |
| AIT, IIEEJ, AS, CG-ARTS |
2021-03-08
13:30 |
Online |
Online |
Visualization of song collections for understanding of the relationship between metadata and features
Midori Watanabe, Narumi Kuroko (Ochanomizu Univ.), Hayato Ohya (RecoChoku Co., Ltd.), Takayuki Itoh (Ochanomizu Univ.) |
When performing automatic classification and recommendation for music, there exists a problem that it is not clear which... [more] |
AIT2021-95
pp.223-226 |
| AIT, IIEEJ, AS, CG-ARTS |
2019-03-12
14:00 |
Tokyo |
Waseda Univ. |
A Music Recommendation System Considering the Location-based Ordinariness
Narumi Kuroko (Ocha Univ.), Hayato Oya (RecoChoku), Takayuki Itoh (Ocha Univ.) |
The mainstream of the music media purchase has moved from discs such as CDs to distribution via the Internet. Also, the ... [more] |
AIT2019-146
pp.341-344 |
| 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 |
| 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 |
| 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 |
| IEICE-ITS, IEICE-IE, AIT, HI, ME [detail] |
2011-02-21
- 2011-02-22 |
Hokkaido |
Hokkaido University |
Music recommendation based on relationship between human motions and music pieces extracted from video sequences
-- A note on its automation and accuracy improvement --
Hiroyuki Ohkushi, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.) |
This paper prepares an automatic and accurate music recommendation method based on the relationship between human motion... [more] |
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