Visualization

  • Yossi Rubner
  • Carlo Tomasi
Chapter
Part of the The Springer International Series in Engineering and Computer Science book series (SECS, volume 594)

Abstract

The images that best match a query should be displayed to the user in a useful way, that shows immediately if there are any relevant images in the returned set. Traditional image retrieval systems display the returned images as a list, sorted by dissimilarity to the query. At this point, the user can examine the images one at a time, and decide the next action. While this might suffice if the correct images are in the returned list, this is usually not the case, even when the user has as exact image in mind. In many cases, the user has only a vague idea of what he is looking for. In this cases, the display should convey information as to what kind of images were returned by the query, what (if anything) went wrong, how to refine the query in order to get closer to the desired images, and whether or not to terminate the search.

Keywords

Query Result Dissimilarity Measure Relevant Image Dissimilarity Matrix Psychophysical Experiment 
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 Science+Business Media New York 2001

Authors and Affiliations

  • Yossi Rubner
    • 1
  • Carlo Tomasi
    • 1
  1. 1.Stanford UniversityUSA

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