Community maps for joint visualization of images and descriptors

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.