Comparing images using joint histograms
Multimedia Systems - Special issue on video content based retrieval
Spatial Color Indexing and Applications
International Journal of Computer Vision
SIMPLIcity: Semantics-Sensitive Integrated Matching for Picture LIbraries
IEEE Transactions on Pattern Analysis and Machine Intelligence
Image retrieval based on perceptive weighted color blocks
Pattern Recognition Letters
ICPR '02 Proceedings of the 16 th International Conference on Pattern Recognition (ICPR'02) Volume 4 - Volume 4
A Metric for Distributions with Applications to Image Databases
ICCV '98 Proceedings of the Sixth International Conference on Computer Vision
Combining spatial and colour information for content based image retrieval
Computer Vision and Image Understanding - Special issue on color for image indexing and retrieval
Image retrieval: Ideas, influences, and trends of the new age
ACM Computing Surveys (CSUR)
Modeling human color categorization
Pattern Recognition Letters
Adaptive image retrieval based on the spatial organization of colors
Computer Vision and Image Understanding
Img(Rummager): An Interactive Content Based Image Retrieval System
SISAP '09 Proceedings of the 2009 Second International Workshop on Similarity Search and Applications
A histogram-based approach for object-based query-by-shape-and-color in image and video databases
Image and Vision Computing
Image retrieval based on multi-texton histogram
Pattern Recognition
Application of bilateral filtering and Gaussian mixture modeling for the retrieval of paintings
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Weighted walkthroughs between extended entities for retrieval by spatial arrangement
IEEE Transactions on Multimedia
An efficient and effective region-based image retrieval framework
IEEE Transactions on Image Processing
IEEE Transactions on Circuits and Systems for Video Technology
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In this paper a novel technique of color based image retrieval is proposed. The image is represented by Gaussian mixtures of the set of histograms corresponding to the spatial location of the color regions within the image. The proposed approach enables to express user's needs concerning the specified color arrangements of the retrieved images, in form of the colors belonging to the eleven basic color groups along with their spatial locations. The solution proposed in this paper utilizes the mixture modeling of the information of each set of the color channels. Experimental results show that the proposed method is efficient and flexible, when specific user's requirements are considered.