Image recognition for digital libraries
Proceedings of the 6th ACM SIGMM international workshop on Multimedia information retrieval
Content-based image retrieval: approaches and trends of the new age
Proceedings of the 7th ACM SIGMM international workshop on Multimedia information retrieval
Image retrieval: Ideas, influences, and trends of the new age
ACM Computing Surveys (CSUR)
A knowledge based approach for a fast image retrieval system
Image and Vision Computing
Automatic textile image annotation by predicting emotional concepts from visual features
Image and Vision Computing
A fuzzy logic based approach to feedback reinforcement in image retrieval
ICIC'09 Proceedings of the 5th international conference on Emerging intelligent computing technology and applications
Adaptive visual regions categorization with sets of points of interest
PCM'06 Proceedings of the 7th Pacific Rim conference on Advances in Multimedia Information Processing
Feature selection for graph-based image classifiers
IbPRIA'05 Proceedings of the Second Iberian conference on Pattern Recognition and Image Analysis - Volume Part II
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Content-based image retrieval can be dramatically improved by providing a good initial database overview to the user. To address this issue, we present in this paper the Adaptive Robust Competition. This algorithm relies on a non-supervised database categorization, coupled with a selection of prototypes in each resulting category. In our approach, each image is represented by a high-dimensional signature in the feature space, and a principal component analysis is performed for every feature to reduce dimensionality. Image database overview is computed in challenging conditions since clusters are overlapping with outliers and the number of clusters is unknown.