in reply to Fast Multiresolution Image Querying

The method for matching a scanned image seems adequately explained in the paper and could be translated from theory into perl.

However, call me skeptical but I just don't believe the implication in the paper that the same techniques can reliably produce the stated results for a painted query image. Any credible attempt to interpret such an image would need to transform the data in terms of human perception and the suggested paper has not even gone in the right direction for this. Such modelling belongs more properly in the field of psychology and psychotherapy, but can describe the concepts the program needs to aim at when transforming the painted query image and reference image for comparison. See 'Metaphors in Mind: Transformation through symbolic modelling' - http://www.alibris.com/search/detail.cfm?S=R&isbn=0953875105&qsort=p

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  • Comment on Re: Fast Multiresolution Image Querying

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Re^2: Fast Multiresolution Image Querying
by danambroseUK (Beadle) on Aug 16, 2005 at 16:56 UTC
    Have a look at http://imgseek.python-hosting.com

    Download this and give it a try - I did and the results were impressive on my photo collection.

    Your correct; By drawing a cat, your not searching for a cat, simply images which are similar to your drawing. One could build upon this with the addition of meta data & reference images. Which would add some context to the searches and could actually be very powerful.

    There are other ways to look at, being shape/path recognition etc. Using the discussed technique could also have a "Find Similar Images" feature- which for say an online photo gallery would be really neat.
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