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Learning Query-Dependent Distance Metrics for Interactive Image Retrieval

  • Junwei Han
  • Stephen J. McKenna
  • Ruixuan Wang
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5815)

Abstract

An approach to target-based image retrieval is described based on on-line rank-based learning. User feedback obtained via interaction with 2D image layouts provides qualitative constraints that are used to adapt distance metrics for retrieval. The user can change the query during a search session in order to speed up the retrieval process. An empirical comparison of online learning methods including ranking-SVM is reported using both simulated and real users.

Keywords

Image Retrieval Query Image Relevance Feedback User Feedback CBIR System 
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 2009

Authors and Affiliations

  • Junwei Han
    • 1
  • Stephen J. McKenna
    • 1
  • Ruixuan Wang
    • 1
  1. 1.School of ComputingUniversity of DundeeDundeeUK

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