DocumentCode
3108476
Title
Neural Based Approach for Fast Retrieval of Symbolic Images in Database
Author
Sabet, Mojtaba ; Firouzmand, Mohamad ; Ayat, Saeed
Author_Institution
Dept of Comput. Sci., Payame Noor Univ. (PNU), Tehran, Iran
fYear
2009
fDate
28-30 Dec. 2009
Firstpage
161
Lastpage
165
Abstract
The rapid growth of image databases results in new requirement for fast image indexing and retrieval. In this paper we use Correlation Matrix Memory (CMM) as data structure for fast image storage and retrieval. We use Triangular Spatial Relation (TSR) to represent spatial relations among image iconic objects. The proposed model is faster than other existing models in both partial and exact match retrieval (¿(1)).
Keywords
image retrieval; indexing; neural nets; visual databases; correlation matrix memory; fast image indexing; fast image storage; image databases; image iconic object; neural based approach; symbolic images retrieval; triangular spatial relation; Computer science; Coordinate measuring machines; Data structures; Image databases; Image retrieval; Image storage; Indexing; Information retrieval; Joining processes; Machine vision;
fLanguage
English
Publisher
ieee
Conference_Titel
Machine Vision, 2009. ICMV '09. Second International Conference on
Conference_Location
Dubai
Print_ISBN
978-0-7695-3944-7
Electronic_ISBN
978-1-4244-5645-1
Type
conf
DOI
10.1109/ICMV.2009.57
Filename
5381105
Link To Document