PicSOM—content-based image retrieval with self-organizing maps
Pattern Recognition Letters - Selected papers from the 11th scandinavian conference on image analysis
Challenges of Image and Video Retrieval
CIVR '02 Proceedings of the International Conference on Image and Video Retrieval
Embedded Tags and Visual Querying for Face Photo Retrieval
PCM '08 Proceedings of the 9th Pacific Rim Conference on Multimedia: Advances in Multimedia Information Processing
A bi-objective optimization model for interactive face retrieval
MMM'11 Proceedings of the 17th international conference on Advances in multimedia modeling - Volume Part II
Partial relevance in interactive facial image retrieval
ICAPR'05 Proceedings of the Third international conference on Pattern Recognition and Image Analysis - Volume Part II
User interaction techniques for multimedia retrieval
Proceedings of the 2012 Joint International Conference on Human-Centered Computer Environments
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The basic problem in content-based image retrieval is the gap between the high-level descriptions used by humans to describe image contents and the low-level features, such as color, texture and shape, used to automatically index images in databases. This problem is even harder when there are non-trivial high-level human descriptions of the images, as in the case of face images. In these cases the employment of user interaction in the retrieval process is a good possibility to solve this task. In this context, FACERET, a content-based face retrieval system that uses self-organizing maps and user feedback is here introduced. Some simulations of the FACERET operation are also shown.