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Exploiting captions in retrieval of multimedia data

机译:在多媒体数据检索中利用字幕

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摘要

Descriptive natural-language captions can help organize multimedia data. We described our MARIE system that interprets English queries directing the fetch of media objects. it is novel in the extent to which it exploits previously interpreted and indexed English captions for the media objects. Our routine filtering of queries through descriptively-complex captions (as opposed to keyword lists) before retrieving data can actually improve retrieval speed, as media data are often bulky and time consuming to retrieve, difficult upon which to perform content analysis, and even small improvements to query prevision can often pay off. Handling the English of captions and queries about them is not as difficult as it might seems, as the matching does not require deep understanding, just a comprehensive type hierarchy for caption concepts. An important innovation of MARIE is supercaptions describing sets of captions, which can minimize caption redundancy. Databases, Natural-language, Captions, Multimedia
机译:描述性自然语言字幕可以帮助组织多媒体数据。我们描述了我们的MARIE系统,该系统解释指导媒体对象获取的英语查询。它在一定程度上是新颖的,它利用了以前为媒体对象解释和索引的英语字幕。在检索数据之前,我们通过描述性复杂的标题(而不是关键字列表)对查询进行的常规过滤实际上可以提高检索速度,因为媒体数据通常体积庞大且检索时间长,难以执行内容分析,甚至还有很小的改进查询预置通常可以得到回报。处理字幕和关于它们的查询的英文并不像看起来那样困难,因为匹配不需要深入了解,而只是用于字幕概念的全面类型层次结构。 MARIE的一项重要创新是描述字幕集的超级字幕,可以最大程度地减少字幕冗余。数据库,自然语言,字幕,多媒体

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