基于语音和视频的多媒体广播新闻索引

Yoshihiko Hayashi, K. Ohtsuki, K. Bessho, Osamu Mizuno, Y. Matsuo, S. Matsunaga, Minoru Hayashi, T. Hasegawa, Naruhiro Ikeda
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引用次数: 21

摘要

本文介绍了一个新闻节目内容自动索引系统,重点介绍了它的分词过程。这个过程可以成功地将整个新闻节目分割成以主题为中心的新闻故事;主要工具是语言主题分割算法。实验表明,所得到的基于语音的分割结果是相当准确的,并且由外部视频处理器提供的场景变化点有助于提高分割效果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Speech-based and video-supported indexing of multimedia broadcast news
This paper describes an automatic content indexing system for news programs, with a special emphasis on its segmentation process. The process can successfully segment an entire news program into topic-centered news stories; the primary tool is a linguistic topic segmentation algorithm. Experiments show that the resulting speech-based segments are fairly accurate, and scene change points supplied by an external video processor can be of help in improving segmentation effectiveness.
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