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Extraction of hierarchical structure of web communities including salient keyword estimation for web video retrieval

机译:网络社区分层结构的提取,包括用于网络视频检索的显着关键词估计

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In this paper, we present a method for extraction of hierarchical structure of Web communities including salient keyword estimation for Web video retrieval. The following two contributions of the proposed method enable retrieval of the desired Web videos even if users cannot input suitable queries that identify the desired contents. First, our method realizes the extraction of hierarchical structure of Web communities, i.e., Web video sets with similar topics by using heterogeneous features of Web videos and link relationships between Web videos obtained via metadata “related videos”. Second, we can estimate salient keywords to identify the contents of each obtained Web community at a glance based on text attached to Web videos such as title, the heterogeneous features of Web videos and the link relationships between Web videos. Experimental results on actual Web videos verify that our method can realize accurate retrieval of the desired Web videos via the hierarchical structure of Web communities with their salient keywords.
机译:在本文中,我们提出了一种提取Web社区的层次结构的方法,包括用于Web视频检索的显着关键词估计。所提出的方法的以下两个贡献使得即使用户不能输入识别期望内容的合适查询,也能够检索期望的网络视频。首先,我们的方法通过使用Web视频的异构特征以及通过元数据“相关视频”获得的Web视频之间的链接关系,实现了Web社区(即具有相似主题的Web视频集)的分层结构的提取。其次,我们可以基于附在Web视频上的文本(例如标题,Web视频的异构特性以及Web视频之间的链接关系),一目了然地估计出显着的关键字,以标识每个获得的Web社区的内容。在实际Web视频上的实验结果证明,我们的方法可以通过Web社区的显着关键字的层次结构来实现对所需Web视频的准确检索。

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