International Journal of Computer Vision
Topology representing networks
Neural Networks
Randomized algorithms
Self-organizing maps
Color and spatial feature for content-based image retrieval
Pattern Recognition Letters
Content-Based Image Retrieval at the End of the Early Years
IEEE Transactions on Pattern Analysis and Machine Intelligence
The Earth Mover's Distance as a Metric for Image Retrieval
International Journal of Computer Vision
Neural Networks: A Comprehensive Foundation
Neural Networks: A Comprehensive Foundation
Image Databases: Search and Retrieval of Digital Imagery
Image Databases: Search and Retrieval of Digital Imagery
Empirical evaluation of dissimilarity measures for color and texture
Computer Vision and Image Understanding - Special issue on empirical evaluation of computer vision algorithms
Efficient Color Histogram Indexing for Quadratic Form Distance Functions
IEEE Transactions on Pattern Analysis and Machine Intelligence
How to make large self-organizing maps for nonvectorial data
Neural Networks - New developments in self-organizing maps
Image Indexing Using Color Correlograms
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
Image Content-Based Retrieval Using Chromaticity Moments
IEEE Transactions on Knowledge and Data Engineering
Context-dependent segmentation and matching in image databases
Computer Vision and Image Understanding
The analysis and applications of adaptive-binning color histograms
Computer Vision and Image Understanding - Special issue on color for image indexing and retrieval
Combining spatial and colour information for content based image retrieval
Computer Vision and Image Understanding - Special issue on color for image indexing and retrieval
IV '04 Proceedings of the Information Visualisation, Eighth International Conference
Class distribution on SOM surfaces for feature extraction and object retrieval
Neural Networks - 2004 Special issue: New developments in self-organizing systems
Relevance feedback: a power tool for interactive content-based image retrieval
IEEE Transactions on Circuits and Systems for Video Technology
PicSOM-self-organizing image retrieval with MPEG-7 content descriptors
IEEE Transactions on Neural Networks
Texture retrieval based on a non-parametric measure for multivariate distributions
Proceedings of the 6th ACM international conference on Image and video retrieval
On the perceptual organization of image databases using cognitive discriminative biplots
EURASIP Journal on Applied Signal Processing
Probabilistic PCA self-organizing maps
IEEE Transactions on Neural Networks
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An efficient novel strategy for color-based image retrieval is introduced. It is a hybrid approach combining a data compression scheme based on self-organizing neural networks with a nonparametric statistical test for comparing vectorial distributions. First, the color content in each image is summarized by representative RGB-vectors extracted using the Neural-Gas network. The similarity between two images is then assessed as commonality between the corresponding representative color distributions and quantified using the multivariate Wald-Wolfowitz test. Experimental results drawn from the application to a diverse collection of color images show a significantly improved performance (approximately 10-15% higher) relative to both the popular, simplistic approach of color histogram and the sophisticated, computationally demanding technique of Earth Mover's Distance.