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Integrated Browsing and Searching of Large Image Collections

  • Zoran Pečenovió
  • Minh N. Do
  • Martin Vetterli
  • Pearl Pu
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1929)

Abstract

Current image retrieval systems offer either an exploratory search method through browsing and navigation or a direct search method based on specific queries. Combining both of these methods in a uniform framework allows users to formulate queries more naturally, since they are already acquainted with the contents of the database and with the notion of matching the machine would use to return results. We propose a multimodes and integrated image retrieval system that offers the user quick and effective previewing of the collection, intuitive and natural navigating to any parts of it, and query by example or composition for more specific and clearer retrieval goals.

Keywords

Direct Search Image Retrieval Relevance Feedback Image Retrieval System Direct Search Method 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2000

Authors and Affiliations

  • Zoran Pečenovió
    • 1
    • 2
  • Minh N. Do
    • 1
  • Martin Vetterli
    • 1
  • Pearl Pu
    • 2
  1. 1.Laboratory for Audio-Visual CommunicationsZwitzerland
  2. 2.Database/Human Computer Interaction LaboratorySwiss Federal Institute of Technology LausanneLausanneSwitzerland

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