A granular computing perspective on image organization within an image retrieval context

  • Authors:
  • Orland Hoeber;Minglun Gong

  • Affiliations:
  • Department of Computer Science, Memorial University of Newfoundland, St. John's, NL, Canada,Department of Computer Science, University of Regina, Regina, SK, Canada;Department of Computer Science, Memorial University of Newfoundland, St. John's, NL, Canada

  • Venue:
  • RSKT'12 Proceedings of the 7th international conference on Rough Sets and Knowledge Technology
  • Year:
  • 2012

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Abstract

The field of granular computing deals with representing, organizing, and processing information based on different levels of abstraction or aggregation. In the domain of image search, an increasingly common approach is to organize and aggregate the retrieved images within multi-level structures. In this paper, we will explore some of the core principles of granular computing within the context of image retrieval, discussing how our hierarchical approach to image clustering supports the searchers' decision-making tasks within the context of image retrieval.