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chapterNo Access
IFS Based Indexing in Image Databases
- M. Nappi,
- G. Polese, and
- G. Tortora
Image Databases and Multi-Media Search01 Jan 1998
Preview Abstract
We present a new Image Indexing method and an implemented system to perform Content Based retrieval in heterogeneous Image Databases. The method is based on the Theory of Iterated Function Systems (IFS), already exploited for image compression, and it uses a training set of images to build the set of indexing features. The index structure is represented through a reduced vector of features on which we use R-Tree to efficiently access images in the database.

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