Using linguistic models for image retrieval

  • Authors:
  • Brian Zambrano;Rahul Singh;Bibek Bhattarai

  • Affiliations:
  • Department of Computer Science, San Francisco State University, San Francisco, CA;Department of Computer Science, San Francisco State University, San Francisco, CA;Department of Computer Science, San Francisco State University, San Francisco, CA

  • Venue:
  • ISVC'05 Proceedings of the First international conference on Advances in Visual Computing
  • Year:
  • 2005

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Abstract

This research addresses the problem of image retrieval by exploring the semantic relationships that exist between image annotations. This is done by using linguistic relationships encoded in WordNet, a comprehensive lexical repository. Additionally, we propose the use of a reflective user-interface where users can interactively query-explore semantically related images by varying a simple parameter that does not require knowledge about the underlying information structure. This facilitates query-retrieval in context of the emergent nature of semantics that complex media, such as images have. Experiments show the efficacy and promise of this approach which can play a significant role in applications varying from multimedia information management to web-based image search.