INDI - intelligent database navigation by interactive and intuitive content-based image retrieval
Tanja Kämpfe, Thomas Käster, Michael Pfeiffer, Helge Joachim Ritter, Gerhard Sagerer · Proceedings - International Conference on Image Processing · 2002
We present a content-based image retrieval system, INDI (techniques for Intelligent Navigation in Digital Image databases), that combines the use of low-level pattern recognition techniques, machine learning and an intuitive human-computer interface in order to support intelligent and user-friendly semantic navigation in large image databases. To keep independence from specific image domains and to encompass different search tasks, the system is highly modular and contains a hierarchical mechanism for the adaptive reweighting of similarity measures implemented by dynamically reloadable modules at different semantic levels.