VOXALEADNEWS:可扩展的基于内容的视频搜索引擎

Julien Law-To, R. Landais, G. Grefenstette
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引用次数: 1

摘要

视频搜索在很大程度上仍然是基于人工提供的元数据的文本搜索,有时还会辅以提取的缩略图。我们一直在开发一个基于自动语音识别(ASR)、自然语言处理(NLP)以及视频和图像处理最新进展的广播新闻搜索系统,以提供一个丰富的基于内容的新闻搜索。我们在这里描述的Voxalead应用程序的公开在线演示,目前索引了来自英语、法语、中文、阿拉伯语、西班牙语、荷兰语、意大利语、德语和俄语等60个来源的每日广播新闻内容,并在发布后不久就可以搜索到它们。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
VOXALEADNEWS: A scalable content based video search engine
Video search is still largely based on text search human-supplied metadata, sometimes supplemented by extracted thumbnails. We have been developing a broadcast news search system based on recent progress in automatic speech recognition (ASR), natural language processing (NLP) and video and image processing to provide a rich content-based search to news. Our public online demonstrator of the Voxalead application, described here, currently indexes daily broadcast news content from 60 sources in English, French, Chinese, Arabic, Spanish, Dutch, Italian, German and Russian and make them searchable few time after they have been published.
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