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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 4 of 4  /   
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
 Results 1 - 4 of 4  /   
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