DocumentCode
327835
Title
Pictorial query trees for query specification in image databases
Author
Soffer, Aya ; Samet, Hanan ; Zotkin, Dmitry
Author_Institution
Dept. of Comput. Sci., Maryland Univ., College Park, MD, USA
Volume
1
fYear
1998
fDate
16-20 Aug 1998
Firstpage
919
Abstract
A technique that enables specifying complex queries in image databases using pictorial query trees is presented. The leaves of a pictorial query tree correspond to individual pictorial queries that specify which objects should appear in the target images as well as how many occurrences of each object are required. In addition, the minimum required certainty of matching between query-image objects and database-image objects, as well as spatial constraints that specify bounds on the distance between objects and the relative direction between them are also specified. Internal nodes in the query tree represent logical operations (AND, OR, XOR) and their negations on the set of pictorial queries (or subtrees) represented by its children. The syntax of query trees is described. Algorithms for processing individual pictorial queries and for parsing and computing the overall result of a pictorial query tree are outlined
Keywords
content-based retrieval; grammars; visual databases; complex queries; database-image objects; image databases; parsing; pictorial query trees; query specification; query-image objects; spatial constraints; syntax; Automation; Computer science; Database systems; Educational institutions; Electrical capacitance tomography; Image databases; Image matching; Postal services;
fLanguage
English
Publisher
ieee
Conference_Titel
Pattern Recognition, 1998. Proceedings. Fourteenth International Conference on
Conference_Location
Brisbane, Qld.
ISSN
1051-4651
Print_ISBN
0-8186-8512-3
Type
conf
DOI
10.1109/ICPR.1998.711383
Filename
711383
Link To Document