FreeEye: interactive intuitive interface for large-scale image browsing

  • Authors:

  • Kan Ren;Janko Calic

  • Affiliations:

  • University of Surrey, Guildford, United Kingdom;University of Surrey, Guildford, United Kingdom

  • Venue:
  • MM '09 Proceedings of the 17th ACM international conference on Multimedia
  • Year:
  • 2009

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Abstract

Intuitive interfaces have become increasingly important multimedia applications, from personal photo collection to professional management systems. This paper presents a novel intuitive interactive interface for browsing of large image collections that visualizes 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 in a hierarchical layout of the screen, user can intuitively navigate through the collection. The experimental results demonstrate a significant speed-up in a content search scenario compared to a standard browsing interface, as well as inherent intuitiveness of the system.