Interactive unsupervised classication and visualization for browsing an image collection
Résumé
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.
| Origine | Fichiers produits par l'(les) auteur(s) |
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