Abstract
The striking proliferation of user-generated as well as broadcasted visual content prompted a high demand for effective content management tools and interfaces for search and browsing of visual media. This paper presents a novel intuitive interactive interface for browsing of large-scale image collections. It visualises underlying structure of the dataset by its size and spatial relations. In order to achieve this, images are initially clustered using an unsupervised graph-based clustering algorithm. By selecting images that are hierarchically laid out on the screen, user can intuitively navigate through the collection or search for specific content. The conducted experimental results based on user evaluation of photo search, browsing and selection demonstrate good usability of the presented system and improvement when compared to the standard methods for interaction with large-scale image collections.