Quadtree representations for storage and manipulation of clusters of images

Maude Manouvrier (1) , Marta Rukoz (2) , Geneviève Jomier (1)

1 LAMSADE - Laboratoire d'analyse et modélisation de systèmes pour l'aide à la décision
2 CCPD - Centre d'Informatique Parallèle et Distribuée

This article gives an overview of different approaches proposed for the storage and the manipulation of clusters of images. Clustering images consists in grouping together images having a defined relationship. In this article, images are represented by quadtrees implemented in a hierarchical or in a linear way. The discussion, presented at the end of the article, allows selecting a quadtree-based representation well-adapted to a specific area of applications or to the characteristics of the manipulated images.

Mots clés: Hierarchical and Linear Quadtree; Similarity of Quadtrees; Operations on Image Quadtrees; Classification of Approaches

Domaines: Base de données [cs.DB]; Multimédia [cs.MM]; Recherche d'information [cs.IR]

Maude Manouvrier, Marta Rukoz, Geneviève Jomier. Quadtree representations for storage and manipulation of clusters of images. Image and Vision Computing, 2002, 20(7), pp.513-527. ⟨hal-00004817⟩