文章基本信息

标题：シーンの連続性と顔類似度に基づく動画コンテンツ中の同一人物登場シーンの同定
本地全文：下载
作者：平井辰典 ; 中野倫靖 ; 後藤真孝等
期刊名称：映像情報メディア学会誌
印刷版ISSN：1342-6907
电子版ISSN：1881-6908
出版年度：2012
卷号：66
期号：7
页码：J251-J259
DOI：10.3169/itej.66.J251
出版社：The Institute of Image Information and Television Engineers
摘要：We present a method that can automatically annotate when and who is appearing in a video stream that is shot in an unstaged condition. Previous face recognition methods were not robust against different shooting conditions, such as those with variable lighting, face directions, and other factors, in a video stream and had difficulties identifying a person and the scenes the person appears in. To overcome such difficulties, our method groups consecutive video frames (scenes) into clusters that each have the same person's face, which we call a “facial-temporal continuum,” and identifies a person by using many video frames in each cluster. In our experiments, accuracy with our method was approximately two or three times higher than a previous method that recognizes a face in each frame.
关键词：動画像解析;マルチフレーム認識;顔認証;人物要約;3次元顔復元;トラッキング