超越信息媒体数字视频库:视频和音频分析记忆对话

Alexander Hauptmann, Wei-Hao Lin
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引用次数: 5

摘要

“信息媒体计划”数字视频库开创了电视广播新闻自动分析和按需检索的先河。在这个系统的基础上,我们开发了一种可穿戴的、个性化的信息媒体系统,它可以监听和记录佩戴者的对话,识别当前对话伙伴的脸,并记住他/她的声音。当系统下次看到同一个人的脸并听到同样的声音时,它可以从上次对话中检索音频,以压缩的形式重播被提到的名字和主要问题。所有这一切都发生在不显眼的地方,有点像一个智能助手低声对你说:“这是科技解决方案公司的鲍勃·琼斯;两周前在伦敦你们讨论了太阳能电池板。”本文概述了一般的系统组件以及接口注意事项。初步实现表明,人脸识别方法和说话人识别技术都有严重的不足,必须克服。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Beyond the Informedia digital video library: video and audio analysis for remembering conversations
The Informedia Project digital video library pioneered the automatic analysis of television broadcast news and its retrieval on demand. Building on that system, we have developed a wearable, personalized Informedia system, which listens to and transcribes the wearer's part of a conversation, recognizes the face of the current dialog partner and remembers his/her voice. The next time the system sees the same person's face and hears the same voice, it can retrieve the audio from the last conversation, replaying in compressed form the names and major issues that were mentioned. All of this happens unobtrusively, somewhat like an intelligent assistant who whispers to you: "That's Bob Jones from Tech Solutions; two weeks ago in London you discussed solar panels". This paper outlines the general system components as well as interface considerations. Initial implementations showed that both face recognition methods and speaker identification technology have serious shortfalls that must be overcome.
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