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Tracking hierarchical structure of web video groups based on salient keyword matching including semantic broadness estimation

机译:基于显着关键词匹配的网络视频群跟踪分层结构,包括语义范围估计

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This paper presents a novel method to track the hierarchical structure of Web video groups on the basis of salient keyword matching including semantic broadness estimation. To the best of our knowledge, this paper is the first work to perform extraction and tracking of the hierarchical structure simultaneously. Specifically, the proposed method first extracts the hierarchical structure of Web video groups and salient keywords of them on the basis of an improved scheme of our previously reported method. Moreover, to calculate similarities between Web video groups obtained in different time stamps, salient keyword matching is newly developed by considering both co-occurrences of the salient keywords and semantic broadness of each Web video group. Consequently, tracking of the hierarchical structure over time becomes feasible to easily understand popularity trends of many Web videos for realizing effective retrieval.
机译:本文提出了一种基于显着关键词匹配,包括语义广度估计的Web视频组层次结构跟踪的新方法。据我们所知,本文是同时进行层次结构的提取和跟踪的第一项工作。具体而言,在我们先前报道的方法的改进方案的基础上,所提出的方法首先提取Web视频组的层次结构及其显着关键字。此外,为了计算在不同时间戳中获得的Web视频组之间的相似性,通过考虑显着关键字的共现和每个Web视频组的语义广泛性,新开发了显着关键字匹配。因此,随着时间的过去跟踪分层结构变得可行,以容易地理解许多Web视频的流行趋势以实现有效的检索。

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