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Hierarchical information quadtree: efficient spatial temporal image search for multimedia stream

机译:分层信息四叉树:多媒体流的高效时空图像搜索

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Massive amount of multimedia data that contain times- tamps and geographical information are being generated at an unprecedented scale in many emerging applications such as photo sharing web site and social networks applications. Due to their importance, a large body of work has focused on efficiently computing various spatial image queries. In this paper,we study the spatial temporal image query which considers three important constraints during the search including time recency, spatial proximity and visual relevance. A novel index structure, namely Hierarchical Information Quadtree(HI-Quadtree), to efficiently insert/delete spatial temporal images with high arrive rates. Base on HI-Quadtree an efficient algorithm is developed to support spatial temporal image query. We show via extensive experimentation with real spatial databases clearly demonstrate the efficiency of our methods.
机译:在许多新兴的应用程序(例如照片共享网站和社交网络应用程序)中,包含时间戳和地理信息的大量多媒体数据正以前所未有的规模生成。由于它们的重要性,大量的工作集中在有效地计算各种空间图像查询上。在本文中,我们研究了时空图像查询,该查询考虑了搜索过程中的三个重要约束,包括时间近期性,空间邻近性和视觉相关性。一种新颖的索引结构,即分层信息四叉树(HI-Quadtree),可以高效地插入/删除具有高到达率的空间时间图像。基于HI-Quadtree,开发了一种有效的算法来支持时空图像查询。通过对真实空间数据库的广泛试验,我们清楚地证明了我们方法的有效性。

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