An Evaluation of Intrinsic Dimensionality Estimators
IEEE Transactions on Pattern Analysis and Machine Intelligence
Photobook: content-based manipulation of image databases
International Journal of Computer Vision
VisualSEEk: a fully automated content-based image query system
MULTIMEDIA '96 Proceedings of the fourth ACM international conference on Multimedia
Intrinsic Dimensionality Estimation With Optimally Topology Preserving Maps
IEEE Transactions on Pattern Analysis and Machine Intelligence
SIMPLIcity: Semantics-Sensitive Integrated Matching for Picture LIbraries
IEEE Transactions on Pattern Analysis and Machine Intelligence
Blobworld: Image Segmentation Using Expectation-Maximization and Its Application to Image Querying
IEEE Transactions on Pattern Analysis and Machine Intelligence
Image Retrieval from the World Wide Web: Issues, Techniques, and Systems
ACM Computing Surveys (CSUR)
A unified image retrieval framework on local visual and semantic concept-based feature spaces
Journal of Visual Communication and Image Representation
Image retrieval using nonlinear manifold embedding
Neurocomputing
Research of Image Retrieval Based on Color
IFCSTA '09 Proceedings of the 2009 International Forum on Computer Science-Technology and Applications - Volume 01
Image Dimensionality Reduction Based on the Intrinsic Dimension and Parallel Genetic Algorithm
International Journal of Cognitive Informatics and Natural Intelligence
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How to quickly retrieve the image is a very action research topic in the research of image retrieval based on Web. This paper focuses on dimensionality reduction and similarity measure of Web image. First, the paper presents the current commercial search engines how to look for Web images. Then, it describes commonly used methods of the dimension reduction for Web images, followed by proposing the conversion from RGB to HSV and dominant color extraction algorithm based on HSV features, where the HSV color histogram intersection was used as the function of similarity judgments. And the similarity measure based on regional Shannon entropy is discussed. Finally, some improvements are made on computing the regional Shannon mutual information. The experiments and results, which based on FERET database, MIT face database and Corel database, showed that this method has greatly improved the image retrieval in time and precision rates.