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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 #
IE, ITS, ITE-AIT, ITE-ME, ITE-MMS [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]
ITE-HI, IE, ITS, ITE-MMS, ITE-ME, ITE-AIT [detail] 2020-02-27
14:40
Hokkaido Hokkaido Univ.
(Cancelled but technical report was issued)
A Note on Eye Gaze Based User-specific Interest Estimation for Images -- Estimation Performance Improvement Based on sMVCCA including Ordinal Label Dequantization --
Masanao Matsumoto (Hokkaido Univ.), Naoki Saito (NIT, Kushiro College), Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.)
This paper presents supervised multiview canonical correlation analysis via ordinal label dequantization (sMVCCA-OLD) fo... [more]
ITS, IE, ITE-MMS, ITE-HI, ITE-ME, ITE-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]
IE, ITS, ITE-AIT, ITE-HI, ITE-ME, ITE-MMS, ITE-CE [detail] 2017-02-21
11:00
Hokkaido Hokkaido Univ. A note on the estimation of viewer interest level using facial expression -- Applying a framework for anomaly detection --
Yuma Sasaka, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.)
This paper presents a method which estimates interest level by quantifying facial expression data captured from users wh... [more]
EMM 2013-01-30
10:00
Miyagi Tohoku Univ. Research on the region of interest estimation method considering the importance of the video contents
Guoqi Wang, Terumasa Aoki (Tohoku Univ.) EMM2012-98
We propose a technique to estimate with high precision automatic (ROI) where the human gaze is concentrated. Although th... [more] EMM2012-98
pp.43-48
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