Title :
Pictorial queries by image similarity
Author :
Soffer, Aya ; Samet, Hanan
Author_Institution :
Center for Autom. Res., Maryland Univ., College Park, MD, USA
Abstract :
A method for specifying pictorial queries to an image database is introduced. A pictorial query specification consists of a query image, and a similarity level that specifies the required extent of similarity between the query image and database images that are to be retrieved. The query image is constructed by positioning objects so that the desired locational and spatial constraints hold. Two image similarity factors are considered: (1) contextual similarity: how well does the content of one image match that of another; (2) spatial similarity: the relative locations of the matching symbols in the two images. Algorithms for retrieving all database images that conform to a given pictorial query specification are presented and compared
Keywords :
image matching; query processing; visual databases; contextual similarity; image database; image similarity; pictorial query specification; query image; spatial similarity; Automation; Computer science; Data structures; Database systems; Educational institutions; Image databases; Image retrieval; Information retrieval; Prototypes; Spatial databases;
Conference_Titel :
Pattern Recognition, 1996., Proceedings of the 13th International Conference on
Conference_Location :
Vienna
Print_ISBN :
0-8186-7282-X
DOI :
10.1109/ICPR.1996.546805
