ホウチン　テルヒサ   Teruhisa Hochin   寶珍　輝尚    所属   追手門学院大学  理工学部 情報工学科    職種   教授
言語種別	英語
発行・発表の年月	2018/10
形態種別	外国学術誌（その他）
査読	査読あり
標題	Unsupervised estimation of facial expression intensity for emotional scene retrieval in lifelog videos
執筆形態	共著・編著（代表編著を除く）
掲載誌名	International Journal of Software Innovation
掲載区分	国外
巻・号・頁	6(4),pp.30-45
担当区分	最終著者
著者・共著者	Shota Sakaue,Hiroki Nomiya,Teruhisa Hochin
概要	This article describes how in order to facilitate the retrieval of impressive scenes from lifelog videos, a method to estimate the intensity of a facial expression of a person in a lifelog video is proposed. The previous work made it possible to estimate the facial expression intensity, but the previous method requires some training samples which should be manually and carefully selected. This makes the previous method quite inconvenient. This article attempts to solve this problem by introducing an unsupervised learning method. The proposed method estimates the facial expression intensity via a clustering on the basis of several facial features computed from the positional relationship of a number of facial feature points. For the evaluation of the proposed method, an experiment to estimate the facial expression intensity is performed using a lifelog video data set. The estimation performance of the proposed method is compared with that of the previous method.
DOI	10.4018/IJSI.2018100103
ISSN	2166-7160/2166-7179
DBLP ID	journals/ijsinnov/SakaueNH18
PermalinkURL	https://dblp.uni-trier.de/db/journals/ijsinnov/ijsinnov6.html#SakaueNH18