| Paper Abstract and Keywords |
| Presentation |
2022-12-14 17:35
A Consideration on Estimation Accuracy Improvement of Video Viewers' Emotions for Unlearned Data Using Bio-signals and Physical Features of Video
Hiroki Ono, Ryuichi Inoue (Waseda Univ.), Mutsumi Suganuma (Tama Univ.), Wataru Kameyama (Waseda Univ.) |
| Abstract |
(in Japanese) |
(See Japanese page) |
| (in English) |
The authors have been conducting a research of video viewers’ emotion estimation by deep neural network using bio-signals to improve the performance of the video recommendation systems. In our previous studies, we have attempted to solve the issue of improving the accuracy of emotion estimation in unlearned data by increasing the number of videos and changing the questionnaire method. However, this issue still remains, i.e., the estimation accuracy is still low. Therefore, in this paper, we attempt to increase the training data by increasing the number of experimental videos and to utilize the physical features such as the luminance, color saturation and loudness of video contents. As a result, we confirm the accuracy improvement of emotion estimation for unlearned data compared with our previous results. |
| Keyword |
(in Japanese) |
(See Japanese page) |
| (in English) |
Bio-signals / Physical Features of Video / Video Viewer / Emotion Estimation / Deep Neural Network / / / |
| Reference Info. |
IEICE Tech. Rep. |
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| Conference Information |
| Committee |
HCGSYMPO |
| Conference Date |
2022-12-14 - 2022-12-16 |
| Place (in Japanese) |
(See Japanese page) |
| Place (in English) |
Onsite (Sunport Takamatsu) and Online |
| Topics (in Japanese) |
(See Japanese page) |
| Topics (in English) |
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| Paper Information |
| Registration To |
HCGSYMPO |
| Conference Code |
2022-12-HCGSYMPO |
| Language |
Japanese |
| Title (in Japanese) |
(See Japanese page) |
| Sub Title (in Japanese) |
(See Japanese page) |
| Title (in English) |
A Consideration on Estimation Accuracy Improvement of Video Viewers' Emotions for Unlearned Data Using Bio-signals and Physical Features of Video |
| Sub Title (in English) |
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| Keyword(1) |
Bio-signals |
| Keyword(2) |
Physical Features of Video |
| Keyword(3) |
Video Viewer |
| Keyword(4) |
Emotion Estimation |
| Keyword(5) |
Deep Neural Network |
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| 1st Author's Name |
Hiroki Ono |
| 1st Author's Affiliation |
Waseda University (Waseda Univ.) |
| 2nd Author's Name |
Ryuichi Inoue |
| 2nd Author's Affiliation |
Waseda University (Waseda Univ.) |
| 3rd Author's Name |
Mutsumi Suganuma |
| 3rd Author's Affiliation |
Tama University (Tama Univ.) |
| 4th Author's Name |
Wataru Kameyama |
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Waseda University (Waseda Univ.) |
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| Speaker |
Author-1 |
| Date Time |
2022-12-14 17:35:00 |
| Presentation Time |
25 minutes |
| Registration for |
HCGSYMPO |
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