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COMMUNITY MAPS FOR JOINT VISUALIZATION OF IMAGES AND DESCRIPTORS

机译:社区地图,用于图像和描述符的联合可视化

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We propose a method to visualize a large image database. The key novelty is that the visualization maintains the structure often seen in clustering based visualization schemes while allowing for overlap between two clusters. Clustering is based on user-defined descriptors such as color, texture, and EXIF settings. Associations between images and descriptors are also made explicit in the visualization. Visualization of a 16000 image database downloaded from Flickr is presented.
机译:我们提出了一种可视化大图像数据库的方法。关键新颖性是,可视化维护在基于聚类的可视化方案中经常看到的结构,同时允许在两个集群之间重叠。群集基于用户定义的描述符,如颜色,纹理和exif设置。图像和描述符之间的关联也是明确的可视化中的。提出了从Flickr下载的16000图像数据库的可视化。

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