An automatic video indexing method based on shot classification
An automatic video indexing method based on shot classification
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一种基于镜头分类的自动视频索引方法
DOI：
10.1002/scj.1053
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发表时间：
2001
期刊：
影响因子：
--
通讯作者：
Hidehiko Tanaka
中科院分区：
文献类型：
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作者：
I. Ide;Koji Yamamoto;Reiko Hamada;Hidehiko Tanaka
随着最近新闻视频的数量和价值的增加，人们已经预料到它们的自动索引。在对这一问题的各种建议中，人们积极考虑使用文本数据，并实际开发了一些这类应用程序。尽管如此，这些方法大多是面向文本数据的，其中一些方法考虑了它们的索引(关键字)和图像内容之间的对应关系，这是图像数据库的基本要素。
针对新闻视频内容相似、图像相似的特点，提出了一种自动视频索引方法。该方法根据典型的图像内容有选择地标注索引。该方法已经应用于实际的新闻视频，对25%到93%的典型镜头和75%到100%的字幕镜头进行了成功的标引。
With the recent increase in the number of news videos and in their value, their automatic indexing has been anticipated. Among various proposals for this problem, the use of textual data has been actively considered, and some applications of this type have actually been developed. Nonetheless, most of these approaches are textual data oriented, and a few of them consider the correspondences between their indexes (keywords) and image contents which are essentials for an image database.
This paper proposes an automatic video indexing method which takes advantage of the characteristic of news videos: similar images have similar contents. The method tags indexes selectively according to typical image content. The method has been applied to actual news videos, and indexing has been successful for between 25% and 93% of “typical shots,” and for between 75% and 100% of “captionized shots.” © 2001 Scripta Technica, Syst Comp Jpn, 32(9): 32–41, 2001