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Indexing for complex queries on a query-by-content image database

机译:按内容查询图像数据库上的复杂查询的索引

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We describe how the QBIC (Query By Image Content) system handles "multi-*" queries-queries on large image collections involving multifeatures of each image as a whole and of multiple objects within each image. The queries are based on properties of image content-such as colors, textures, shapes, and edges. The system computes a set of features to describe the above properties, uses distance-like measures on the features to provide similarity based retrieval, and has a graphical interface that enable users pose queries visually. In this paper, we present QBIC indexing algorithms that allow these "multi-*" queries to run efficiently.
机译:我们描述了QBIC(按图像内容查询)系统如何处理大型图像集合上的“ multi- *”查询查询,这些图像集合涉及每个图像的整体特征以及每个图像内的多个对象。查询基于图像内容的属性,例如颜色,纹理,形状和边缘。该系统计算一组描述上述属性的特征,对这些特征使用类似距离的度量以提供基于相似度的检索,并具有一个图形界面,使用户可以直观地进行查询。在本文中,我们介绍了QBIC索引算法,这些算法使这些“ multi- *”查询能够高效运行。

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