Visual Navigation of Large Image Graphs

Authors: Nico Hezel, Kai Uwe Barthel, Konstantin Schall, Klaus Jung

Abstract: It is impossible to inspect or get an overview of image collections with millions of images. Users often start ”exploring” images with a keyword or a similarity search. Both lead to long unstructured lists of result images. In this demo we present a graph-based system for visually exploring and navigating continuously changing sets of millions of images with a web browser. Subsets of images are successively retrieved from a image similarity graph and displayed as a visually sorted 2D image map, which can be zoomed and dragged to explore images from related concepts.