DocumentCode :
592689
Title :
Efficient image recovery using visual and semantic contents
Author :
Alvez, C.E. ; Vecchietti, A.R.
Author_Institution :
Fac. de Cienc. de la Administracion, Univ. Nac. de Entre Rios, Concordia, Argentina
fYear :
2012
fDate :
1-5 Oct. 2012
Firstpage :
1
Lastpage :
10
Abstract :
Images recovery by combining low level descriptors and semantic content is a big challenge. In this work we present a three level software architecture implemented in an Object-Relational database that allows the image queries using both descriptions. For the physical level (low-level) MPEG-7 standard descriptors are employed and for the semantic metadata RDF triplets are used. The tests performed using combined low-level and semantic queries gave very good results in terms of images recovered. Since the semantic data can involve a huge number of RDF triplets, we are proposed and indexation structure for the triplets which shows a very good performance compared with other approaches.
Keywords :
image retrieval; meta data; relational databases; software architecture; MPEG-7 standard descriptors; image queries; image recovery; low level descriptors; object-relational database; semantic contents; semantic data; semantic metadata RDF triplets; semantic queries; three level software architecture; visual contents; Animals; Image color analysis; Noise measurement; Resource description framework; Semantics; Silicon; Silicon compounds; Image retrieval; Object-Relational Database; Semantic;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Informatica (CLEI), 2012 XXXVIII Conferencia Latinoamericana En
Conference_Location :
Medellin
Print_ISBN :
978-1-4673-0794-9
Type :
conf
DOI :
10.1109/CLEI.2012.6427147
Filename :
6427147
Link To Document :
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