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Conference Papers (Available on Advance Programs) (Sort by: Date Descending) |
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Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
HI, VRPSY, JSKE |
2024-11-16 10:20 |
Osaka |
Kindai Univ. |
Prediction of driver attention using a saliency estimation model integrated with visual motion features Masataka Suzuki, Takeshi Kohama (Kindai Univ.) |
This study aims to enhance the prediction accuracy of a mathematical model for driver attention while driving a car by m... [more] |
HI2024-48 pp.51-54 |
AIT, ME, MMS, IEICE-IE, IEICE-ITS [detail] |
2022-02-21 17:00 |
Online |
online |
A Note on Interest level Estimation Using Users' Behavior Information
-- Validating the Effectiveness of Feature Integration with Multiple Users -- Kyohei Kamikawa, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.) |
In this paper, we verify the effectiveness of feature integration with multi-user behavior information for interest leve... [more] |
MMS2022-20 ME2022-45 AIT2022-20 pp.103-107 |
ME, IEICE-IE, IEICE-ITS, MMS, HI, AIT [detail] |
2019-02-20 15:30 |
Hokkaido |
Hokkaido Univ. |
A note on interest level estimation for videos using users' behavior based on OpenPose Tetsuya Kushima, Sho Takahashi, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.) |
This paper presents a novel method for interest level estimation using OpenPose which can obtain users' body skeleton po... [more] |
MMS2019-44 HI2019-44 ME2019-66 AIT2019-44 pp.351-354 |
IEICE-ITS, IEICE-IE, AIT, HI, ME [detail] |
2013-02-19 15:20 |
Hokkaido |
Hokkaido Univ. |
A Note on Evaluating Image Search Result Visualization Methods Based on Feature Integration Theory
-- Verifying Effectiveness from Comparison of Different Visualization Methods -- Katsuki Kobayashi, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.) |
This paper presents the verification of the effectiveness about the feature integration theory-based criterion for the i... [more] |
HI2013-26 ME2013-54 AIT2013-26 pp.165-169 |
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