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DAG-based visual interfaces for navigation in indexed video content

机译:基于DAG的可视界面,用于索引视频内容的导航

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Indexing and segmenting of video content by motion, color and texture has been intensively explored leading to a commonly used representation in a storyboard. In this paper, a novel method of visualization of video content is proposed. First of all, the content is segmented into shots, and then a spatio-temporal color signature of shots, based on color distribution in the frames, is proposed. This spatio-temporal color signature serves as a basis for graph clustering and graph visualization tools. Those, integrated in a platform for visualization of huge graphs, Tulip, supply an exciting graph-based navigation interface for multimedia content. The results obtained on feature documentaries are promising.
机译:已经深入研究了通过运动,颜色和纹理对视频内容进行索引和分段,从而在情节提要中形成了常用的表示形式。本文提出了一种新颖的视频内容可视化方法。首先,将内容分割为镜头,然后基于帧中的颜色分布,提出镜头的时空颜色特征。这种时空颜色签名是图形聚类和图形可视化工具的基础。那些集成在用于可视化巨大图形的平台中的Tulip,提供了令人兴奋的基于图形的多媒体内容导航界面。专题片获得的结果令人鼓舞。

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