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Quadtree-Based Image Representation and Retrieval

Jomier, Geneviève; Manouvrier, Maude; Rukoz, Marta (2005), Quadtree-Based Image Representation and Retrieval, in Vassilakopoulos, M., Spatial Databases: Technologies, Techniques and Trend, IGI Global : Hershey (Penn.), p. 81-106. 10.4018/978-1-59140-387-6.ch004

Type
Chapitre d'ouvrage
Date
2005
Book title
Spatial Databases: Technologies, Techniques and Trend
Book author
Vassilakopoulos, M.
Publisher
IGI Global
Published in
Hershey (Penn.)
ISBN
978-1591403876
Pages
81-106
Publication identifier
Metadata
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Author(s)
Jomier, Geneviève
Laboratoire d'analyse et modélisation de systèmes pour l'aide à la décision [LAMSADE]
Manouvrier, Maude cc
Laboratoire d'analyse et modélisation de systèmes pour l'aide à la décision [LAMSADE]
Rukoz, Marta
Laboratoire d'analyse et modélisation de systèmes pour l'aide à la décision [LAMSADE]
Abstract (EN)
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 thirteen years, numerous image-based approaches have used this structure. In this chapter, the authors want to underline the contribution of quadtree in image applications.
Subjects / Keywords
content-based image retrieval; image storage; quad-tree