Visual learning and recognition of 3-D objects from appearance
International Journal of Computer Vision
Photobook: content-based manipulation of image databases
International Journal of Computer Vision
Flexible images: matching and recognition using learned deformations
Computer Vision and Image Understanding - Special issue on physics-based modeling and reasoning in computer vision
Supporting similarity queries in MARS
MULTIMEDIA '97 Proceedings of the fifth ACM international conference on Multimedia
Surfimage: a flexible content-based image retrieval system
MULTIMEDIA '98 Proceedings of the sixth ACM international conference on Multimedia
A Relevance Feedback Architecture for Content-based Multimedia Information Retrieval Systems
CAIVL '97 Proceedings of the 1997 Workshop on Content-Based Access of Image and Video Libraries (CBAIVL '97)
Efficient Query Refinement for Image Retrieval
CVPR '98 Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
Real-Time Face Recognition Using Feature Combination
FG '98 Proceedings of the 3rd. International Conference on Face & Gesture Recognition
PicHunter: Bayesian Relevance Feedback for Image Retrieval
ICPR '96 Proceedings of the International Conference on Pattern Recognition (ICPR '96) Volume III-Volume 7276 - Volume 7276
ICCV '98 Proceedings of the Sixth International Conference on Computer Vision
Journal of Cognitive Neuroscience
Organising and Searching Partially Indexed Image Databases
Proceedings of the 24th BCS-IRSG European Colloquium on IR Research: Advances in Information Retrieval
Region Queries without Segmentation for Image Retrieval by Content
VISUAL '99 Proceedings of the Third International Conference on Visual Information and Information Systems
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Surfimage is a versatile content-based image retrieval system allowing both efficiency and flexibility, depending on the application. Surfimage uses the query-by-example approach for retrieving images and integrates advanced features such as image signature combination, multiple queries, query refinement, and partial queries. The classic and advanced features of Surfimage are detailed hereafter. Surfimage has been extensively tested on dozens of databases, demonstrating performance and robustness. Several experimental results are presented in the paper.