| Paper Abstract and Keywords |
| Presentation |
2021-02-18 17:05
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.) |
| Abstract |
(in Japanese) |
(See Japanese page) |
| (in English) |
This paper presents a prediction method of important scenes in baseball videos based on multimodal variational autoencoder (MVAE). Tweets posted on Twitter by viewers while viewing baseball games include the content of the games and the opinions of the viewers. Then we construct a method for high-quality prediction of important scenes based on MVAE which can consider the relationships between textual, visual and audio features extracted tweets and videos. The proposed method newly introduces the important scene predictor which predicts the probability of the scene being important from the latent features calculated from these features. Finally, this paper shows the effectiveness of the proposed method through experiments using actual baseball videos and tweets. |
| Keyword |
(in Japanese) |
(See Japanese page) |
| (in English) |
Sports video analysis / Twitter analysis / prediction of important scenes / multimodal analysis / / / / |
| Reference Info. |
ITE Tech. Rep., vol. 45, no. 4, ME2021-14, pp. 71-75, Feb. 2021. |
| Paper # |
ME2021-14 |
| Date of Issue |
2021-02-11 (MMS, ME, AIT) |
| ISSN |
Print edition: ISSN 1342-6893 Online edition: ISSN 2424-1970 |
| Download PDF |
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| Conference Information |
| Committee |
IEICE-IE IEICE-ITS MMS ME AIT |
| Conference Date |
2021-02-18 - 2021-02-19 |
| Place (in Japanese) |
(See Japanese page) |
| Place (in English) |
Online |
| Topics (in Japanese) |
(See Japanese page) |
| Topics (in English) |
Image Processing, etc. |
| Paper Information |
| Registration To |
ME |
| Conference Code |
2021-02-IE-ITS-MMS-ME-AIT |
| Language |
Japanese |
| Title (in Japanese) |
(See Japanese page) |
| Sub Title (in Japanese) |
(See Japanese page) |
| Title (in English) |
A Note on Prediction of Important Scenes in Baseball Videos via Multimodal Variational Autoencoder Using Tweets and Videos |
| Sub Title (in English) |
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| Keyword(1) |
Sports video analysis |
| Keyword(2) |
Twitter analysis |
| Keyword(3) |
prediction of important scenes |
| Keyword(4) |
multimodal analysis |
| Keyword(5) |
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| 1st Author's Name |
Kaito Hirasawa |
| 1st Author's Affiliation |
Hokkaido University (Hokkaido Univ.) |
| 2nd Author's Name |
Keisuke Maeda |
| 2nd Author's Affiliation |
Hokkaido University (Hokkaido Univ.) |
| 3rd Author's Name |
Takahiro Ogawa |
| 3rd Author's Affiliation |
Hokkaido University (Hokkaido Univ.) |
| 4th Author's Name |
Miki Haseyama |
| 4th Author's Affiliation |
Hokkaido University (Hokkaido Univ.) |
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| Speaker |
Author-1 |
| Date Time |
2021-02-18 17:05:00 |
| Presentation Time |
25 minutes |
| Registration for |
ME |
| Paper # |
MMS2021-14, ME2021-14, AIT2021-14 |
| Volume (vol) |
vol.45 |
| Number (no) |
no.4 |
| Page |
pp.71-75 |
| #Pages |
5 |
| Date of Issue |
2021-02-11 (MMS, ME, AIT) |