Approaches for interactive browsing of large image datasets
With the number of digital images growing at a rapid rate, effective approaches for organising large image repositories are highly sought after. In this paper, we summarise a number of such approaches that allow for intuitive browsing of image databases. Based on visual features extracted from the images, complete image libraries can be visualised in such a way that similar images are located close to each other in the visualisation. This, coupled with appropriate browsing operations, allows for interactive exploration of even large scale image collections as demonstrated by the Hue Sphere Image Browser and Honeycomb Image Browser approaches.