DocumentCode
1833296
Title
Single measure similarity for spatial data management system
Author
Theng, Lau Bee ; Chai, Wang Yin
Author_Institution
Sch. of Inf. Technol. & Multimedia, Swinburne Univ. of Technol.
Volume
1
fYear
2006
fDate
20-22 Feb. 2006
Lastpage
743
Abstract
Multimeasure structural similarity for object retrieval is an active research area in spatial databases management software. The similarity is particularly important for development of spatial database system like Geographic Information Systems (GIS) and navigation system. This paper presents research findings from the developed SMSS, single measure structural similarity model for spatial databases management systems. The model is proven to be more effective than existing multimeasure models in several areas that are reduced similarity measures, reduced object associations, and eliminated object approximation
Keywords
visual databases; eliminated object approximation; object retrieval; reduced object associations; reduced similarity measures; single measure structural similarity; spatial data management system; spatial databases management software; Database systems; Encoding; Equations; Geographic Information Systems; Information retrieval; Information technology; Multimedia databases; Spatial databases; Spirals; Time measurement;
fLanguage
English
Publisher
ieee
Conference_Titel
Advanced Communication Technology, 2006. ICACT 2006. The 8th International Conference
Conference_Location
Phoenix Park
Print_ISBN
89-5519-129-4
Type
conf
DOI
10.1109/ICACT.2006.206071
Filename
1625676
Link To Document