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基于Lucene的音视频资源检索系统的研究与实现 被引量:5

RESEARCH AND IMPLEMENTATION OF LUCENE-BASED RETRIEVAL SYSTEM OF AUDIO AND VIDEO RESOURCES
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摘要 音视频资源中包含的可检索信息少,而且通常访问粒度大,不利于对其检索和使用。基于Lucene全文搜索引擎构建了一个音视频资源检索系统。系统通过多种方式为音视频注入语义文字信息,标注音视频片段,在此基础上使用Lucene实现全文检索,同时结合数据库检索和增强的语义检索提高检索的效率。实验显示,检索的召回率、准确率和用户满意度都比较高。 Retrievable Information in audio-video resources is limited, and usually the access granularity of audio-video resources is large. These make the retrieval and usage of the resources very difficult. In this paper, based on a full-text search engine with Lucene, a retrieval system for audio-video resources is built. Several methods are employed to inject semantic text information to audio-video resources and to annotate audio-video clips. Based on these Lucene is used to implement the full-text retrieval. And meanwhile the database retrieval is integrated with augmented semantic retrieval to improve efficiency of the retrieval. From the results of experiment, the recall and precision of retrieval is relatively high with the satisfactory of user.
作者 姜鑫 余平
出处 《计算机应用与软件》 CSCD 2011年第11期245-248,共4页 Computer Applications and Software
关键词 LUCENE 全文检索 搜索引擎 音视频标注 Lucene Full-text retrieval Search engine Audio-video annotation
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