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Interactive unsupervised classication and visualization for browsing an image collection

Abstract : In this paper, we propose an approach for interactive navigation in an image collection. As structured groups are more appealing to users than flat image collections, we propose an image clustering algorithm that can handle time-varying collections. A 3D graph-based visualization technique reflects the classification state. While this visualization is itself interactive, we show hos user feedback may assist the classification, thus enabling a user to improve it.
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https://hal.inria.fr/inria-00396789
Contributor : Marc Gelgon <>
Submitted on : Thursday, June 18, 2009 - 6:19:40 PM
Last modification on : Monday, December 14, 2020 - 4:34:19 PM
Long-term archiving on: : Monday, October 15, 2012 - 2:35:45 PM

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Pierrick Bruneau, Fabien Picarougne, Marc Gelgon. Interactive unsupervised classication and visualization for browsing an image collection. Pattern Recognition, Elsevier, 2010, 43 (2), pp.485-493. ⟨10.1016/j.patcog.2009.03.024⟩. ⟨inria-00396789⟩

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