Title :
Image indexing by spatial relationships between salient objects
Author :
Ganea, Eugen ; Brezovan, Marius
Author_Institution :
Univ. of Craiova, Craiova, Romania
Abstract :
In this paper, we presented our technique to extract and to use the spatial relationships between two or more salient objects. Using an object oriented hypergraph data structure, the spatial relationships are determined and stored in an object-oriented database. This work aims to unified the phases of processing, indexing and retrieval of images. The proposed model can be applicable to other types of data (video) and to semantic relations hidden in an image. The structure of the database used for image storage allow the construction of the indexes classes hierarchy in order to improve the results of image retrieval. Our method requires more experiments for datasets which come from different areas and for images which contain more salient objects.
Keywords :
data structures; graph theory; image processing; image retrieval; object-oriented databases; image indexing; image processing; image retrieval; image storage; index class hierarchy; object oriented hypergraph data structure; object-oriented database; salient objects; spatial relationships; Data models; Image segmentation; Indexing; Object oriented modeling; Semantics;
Conference_Titel :
Computer Science and Information Systems (FedCSIS), 2011 Federated Conference on
Conference_Location :
Szczecin
Print_ISBN :
978-1-4577-0041-5
Electronic_ISBN :
978-83-60810-35-4