vESP:支持视频的企业搜索平台

P. Halvorsen, Dag Johansen, B. Olstad, T. Kupka, Sverre Tennøe
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引用次数: 3

摘要

在本文中,我们介绍了如何通过修改广泛部署的商业企业搜索引擎来提供一种新颖且具有潜在破坏性的多媒体服务。其思想是透明地将丰富的多媒体数据与传统的面向文本的查询结果集成在一起。这包括搜索引擎自动从现有视频的大型知识库中发现和提取相关场景,并生成与用户查询匹配的事件的新定制视频。为了评估我们的原型,我们使用来自Microsoft知识库的数据集进行了实验,这些数据集由带有相应视频的PowerPoint演示文稿组成。我们的初步结果表明,这种集成可以有效地实现,并且潜在用户更愿意有机会用相应的视频来丰富搜索结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
vESP: A Video-Enabled Enterprise Search Platform
In this paper, we present how to provide a novel and potentially disruptive multimedia service by modifying a widely deployed commercial enterprise search engine. The idea is to transparently integrate rich multimedia data with traditional textual-oriented query results. This includes that the search engine automatically discovers and extracts relevant scenes from a large knowledge repository of existing videos and produces a new, customized video of events matching the user query. To evaluate our prototype, we have performed experiments using a data set from a knowledge repository in Microsoft consisting of PowerPoint presentations with corresponding videos. Our initial results demonstrate that such integration can be implemented efficiently, and that potential users prefer to have the opportunity to enrich the search results with corresponding video.
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