The Truth about Corel - Evaluation in Image Retrieval
CIVR '02 Proceedings of the International Conference on Image and Video Retrieval
Unsupervised Robust Clustering for Image Database Categorization
ICPR '02 Proceedings of the 16 th International Conference on Pattern Recognition (ICPR'02) Volume 1 - Volume 1
Image Retrieval Based on Multiple Features Using Wavelet
ICCIMA '03 Proceedings of the 5th International Conference on Computational Intelligence and Multimedia Applications
Improving Image Retrieval Performance by Using Both Color and Texture Features
ICIG '04 Proceedings of the Third International Conference on Image and Graphics
Image retrieval based on energy histograms of the low frequency DCT coefficients
ICASSP '99 Proceedings of the Acoustics, Speech, and Signal Processing, 1999. on 1999 IEEE International Conference - Volume 06
A knowledge based approach for a fast image retrieval system
Image and Vision Computing
The "El Niño" Image Database System
ICMCS '99 Proceedings of the IEEE International Conference on Multimedia Computing and Systems - Volume 2
Fast accurate fuzzy clustering through data reduction
IEEE Transactions on Fuzzy Systems
Segmentation of color lip images by spatial fuzzy clustering
IEEE Transactions on Fuzzy Systems
MembershipMap: Data Transformation Based on Granulation and Fuzzy Membership Aggregation
IEEE Transactions on Fuzzy Systems
Fuzzy Clustering With Partial Supervision in Organization and Classification of Digital Images
IEEE Transactions on Fuzzy Systems
PicToSeek: combining color and shape invariant features for image retrieval
IEEE Transactions on Image Processing
The MPEG-7 visual standard for content description-an overview
IEEE Transactions on Circuits and Systems for Video Technology
A subjective logic formalisation of the principle of polyrepresentation for information needs
Proceedings of the third symposium on Information interaction in context
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Nowadays, due to the spread of digital imaging technologies, the design of effective content based image retrieval (CBIR) systems is perceived by the research community as a primary problem. Various techniques such as clustering and relevance feedback were proposed to obtain a certain level of knowledge about a given image database. Often clustering techniques were used to obtain a first level characterization of the image database used to speed up the successive stage of queries. In this work the authors use the knowledge obtained using a fuzzy clustering algorithm to reinforce the user feedback. The system was tested on the Columbia Coil-20 image database and the obtained results seem to be encouraging.