Content Management White Papers
Long-Term Learning from User Behavior in Content-Based Image Retrieval
Overview This article describes an algorithm for obtaining knowledge about the importance of features form analyzing user log files of a content-based image retrieval system (CBIRS). The analysis only includes multiple image queries of the system with positive and or negative input images, because only multiple image queries contain enough information for the method described. Features frequently present in image queries contain enough information for the method described. Features frequently present in images marked together positively in the same query step get a higher weighing, whereas features present in one image marked positively and another image marked negatively in the same step get a lower weighting.
| Publisher | University of Geneva | File Format | PDF, requires Acrobat Rdr 5 |
|---|---|---|---|
| Date Published | May 2000 | ||
| Format | White Papers | ||
| Topics | |||
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