文章基本信息

标题：放送番組を素材としたマルチメディア百科事典の自動構築
本地全文：下载
作者：三浦菊佳 ; 山田一郎 ; 住吉英樹等
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：2008
卷号：62
期号：1
页码：110-116
DOI：10.3169/itej.62.110
出版社：The Institute of Image Information and Television Engineers
摘要：This paper proposes a method for automatically generating a multimedia encyclopedia composed of video clips using closed-caption text information. The goal is to automatically index each video segment of the television program by the principal video object. We focus on several features of the closed-caption text style in order to identify the principal video objects. Using Quinlan's C4.5 decision-tree learning algorithm and the predicted accuracies of production rule indicators, we extract one object noun for each video shot. To show the effectiveness of the method, we conducted experiments on the extraction of video segments in which animals appear in twenty television programs on animals and nature. We obtained a precision rate of 74.6 percent and a recall rate of 51.4 percent on the extraction of video segments in which animals appear, and generated a multimedia encyclopedia comprising 322 video clips showing 82 kinds of animals.
关键词：クローズドキャプション;メタデータ;被写体抽出;機械学習