Interactive search fusion methods for video database retrieval
Interactive search fusion methods for video database retrieval
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DOI：
10.1109/icip.2003.1247068
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发表时间：
2003-11
期刊：
影响因子：
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通讯作者：
John R. Smith-;A. Jaimes;Ching-Yung Lin;M. Naphade;A. Natsev;Belle L. Tseng
中科院分区：
文献类型：
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作者：
John R. Smith-;A. Jaimes;Ching-Yung Lin;M. Naphade;A. Natsev;Belle L. Tseng
在本文中，我们研究了一种新的方法，用于视频数据库检索使用交互式搜索融合。最近的视频分析技术已经能够提取各种描述符的功能，概念，集群，分类结果，语音和文本的条款，MPEG-7元数据，等等，然而，给定的信息需要用户面临着一个艰巨的任务，试图制定查询这些多个不同的数据源，以检索所需的视频内容。在本文中，我们探索了一种新的方法，搜索融合的基础上，用户交互式地建立一个查询，依次选择之间的描述符和数据源，并通过选择从各种组合和得分聚合功能，以融合个人搜索的结果。例如，系统允许构建查询，诸如“检索具有海滩场景的颜色、天空的检测和水的检测的视频剪辑”。在本文中，我们提出了搜索融合方法，并评估了一个大型视频数据库的性能。
In this paper, we investigate a new method for video database retrieval using interactive search fusion. Recent video analysis techniques have enabled the extraction of a variety of descriptors of features, concepts, clusters, classification results, speech and textual terms, MPEG-7 metadata, and so on. However, given an information need users are faced with a daunting task of trying to formulate queries over these multiple disparate data sources in order to retrieve the desired video content. In this paper, we explore a novel approach based on search fusion in which the user interactively builds a query by sequentially choosing among the descriptors and data sources and by selecting from various combining and score aggregation functions to fuse results of individual searches. For example, the system allows building of queries such as "retrieve video clips that have color of beach scenes, the detection of sky, and detection of water". In this paper we present the search fusion method and evaluate the performance on a large video database.