In this paper a system called CLIMS (CLausthal Image Ma- nagement System) for content based image retrieval as an important sub- system of a general multimedia database is presented. It offers querying by sketch and image example and uses colour and wavelet based features for the comparison of images. Each image in the database is represented by a set of wavelet coeffcients and colour attributes, which form the fundament for the retrieval. In order to enable effcient similarity search two index structures, VP- Trees and Lq metric, are introduced and discussed. With the extension of the original VP-tree algorithm a ranking of the n most similar images is possible. The effciency of the proposed retrieval methods is evaluated on a sample, general image catalogue.
CITATION STYLE
Kao, O., & la Tendresse, I. L. (2000). CLIMS - A system for image retrieval by using colour and wavelet features. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 1909, pp. 238–247). Springer Verlag. https://doi.org/10.1007/3-540-40888-6_22
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