The R*-tree: an efficient and robust access method for points and rectangles
SIGMOD '90 Proceedings of the 1990 ACM SIGMOD international conference on Management of data
International Journal of Computer Vision
Pattern recognition and image analysis
Pattern recognition and image analysis
VisualSEEk: a fully automated content-based image query system
MULTIMEDIA '96 Proceedings of the fourth ACM international conference on Multimedia
The K-D-B-tree: a search structure for large multidimensional dynamic indexes
SIGMOD '81 Proceedings of the 1981 ACM SIGMOD international conference on Management of data
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Digital images are useful media for storing spatial, spectral and temporal components of information. Large image databases often store the images in compressed format, JPEG for example. This paper examines the algorithms of direct extraction of low level features from compressed images, working with three different clustering techniques. Results indicate that a K-Harmonic means clustering algorithm not only has the advantage of shorter in both clustering and searching time but also can have a higher accuracy rate.