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Browsing and Similarity Search of Videos Based on Cluster Extraction from Graphs

机译:基于群集提取的视频浏览和相似性搜索图形的视频

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This paper presents a browsing and similarity search method of videos based on cluster extraction from graphs. Videos are segmented into shots and represented as the sequence of symbols. The directed graph of videos is constructed from the relationship between those symbols. Initial and terminal shots are extracted from it, and they are displayed for users sequentially from the initial shots to the terminal ones. The shots selected by means of this browsing are used as a query video on similarity search. The performance of the proposed method is examined by using the video dataset of NASA.
机译:本文介绍了基于群集提取图形的视频的浏览和相似性搜索方法。 视频被分段为镜头并表示为符号序列。 视频的指向图是由这些符号之间的关系构成的。 从其中提取初始和终端镜头,并且从初始镜头向用户依次显示用户。 通过此浏览选择的镜头被用作相似性搜索的查询视频。 通过使用NASA的视频数据集来检查所提出的方法的性能。

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