Panoramic, adaptive and reconfigurable interface for similarity search
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We outline the architecture of a content-based image retrieval (CBIR)-interface that offers the user a graphical tool to create new features by showing (as opposed to telling!) the system what he means. It allows him 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 classification. We show how logistic regression and Sammon projection can be used to supervise this search mode.
[1] D. Hosmer,et al. Applied Logistic Regression , 1991 .
[2] Simone Santini,et al. Beyond query by example , 1998, MULTIMEDIA '98.
[3] Ingemar J. Cox,et al. The Bayesian image retrieval system, PicHunter: theory, implementation, and psychophysical experiments , 2000, IEEE Trans. Image Process..
[4] Alberto Del Bimbo,et al. Visual information retrieval , 1999 .