retrievr – an “exploration” tool

retrievr more as an “exploration” tool than as a “search” tool, 由奥地利工程师 Christian Langreiter from System One.

Algorithm: Chuck Jacobs, Adam Finkelstein and David Salesin Fast Multiresolution Image Querying (SGIGraph1995) [pdf]

20 most similar images are displayed as small thumbnails.

  • If one of these was the desired image, the user simply clicks on that thumbnail to retrieve the full-sized image.
  • Otherwise, if the desired image doesn’t appear among the thumbnails, the user may modify the query and “match” again.
  • interactive retrieval: Every time the user pauses from painting for a moment, the application retrieves a new set of thumbnails.
  • Quick speed: Median time to retrieve the target image appears to be around 20 seconds for a database of 1000 images.
  • Criteria for quality:
    • For painted queries, 51 of 87 test queries retrieved the correct image as a “best match”.
    • For scanned queries, 66 of 89 test queries retrieved the correct image as a “best match”.

Other Application using this algorithm: imgSeek

imgSeek is a standalone image management application that incorporates that algorithm as well. The image you are looking for can be expressed either as a rough painted sketch or as another image you supply.

  • Group your photos by similarity for easy browsing.
  • Cluster automatically by colordate (group events automatically using an adaptive clustering algorithm for time differences), filename or image features.
  • Find all duplicate images on your collection with the parameters you specify. (dimensions, filesize, filename, similarity, average luminance)


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