Abstract
We outline the architecture of a CBIR-interface that allows the user to interactively classify images by dragging and dropping them into different piles and instructing the interface to come up with features that can mimic this classiffication. Logistic regression and Sammon projection are used to support this search mode.
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© 2000 Springer-Verlag Berlin Heidelberg
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Caenen, G., Frederix, G., Kuijk, A., Pauwels, E., Schouten, B. (2000). Show Me What You Mean! PARISS: A CBIR-Interface That Learns by Example. In: Laurini, R. (eds) Advances in Visual Information Systems. VISUAL 2000. Lecture Notes in Computer Science, vol 1929. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-40053-2_23
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DOI: https://doi.org/10.1007/3-540-40053-2_23
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