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 :
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