Quadtree-based Image Representation and Retrieval

Quadtree-based Image Representation and Retrieval

Maude Manouvrier (LAMSADE - Universite Paris-Dauphine, France), Marta Rukoz (CCPD - Universidad Central de Venezuela, Venezuela) and Geneviève Jomier (LAMSADE - Universite Paris-Dauphine, France)
Copyright: © 2005 |Pages: 26
DOI: 10.4018/978-1-59140-387-6.ch004
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Abstract

This chapter is a survey of quadtree uses in the image domain, from image representation to image storage and content-based retrieval. A quadtree is a spatial data structure built by a recursive decomposition of space into quadrants. Applied to images, it allows representing image content, compacting or compressing image information, and querying images. For 13 years, numerous image-based approaches have used this structure. In this chapter, the authors underline the contribution of quadtree in image applications.

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