DocumentCode :
1912773
Title :
Relevance Feedback in Content-based Image Retrieval Systems, an Overview and Analysis
Author :
Djordjevic, Divna ; Izquierdo, Ebroul
Author_Institution :
Dept. of Electr. Eng., Queen Mary Univ. of London
Volume :
1
fYear :
2005
fDate :
21-24 Nov. 2005
Firstpage :
143
Lastpage :
146
Abstract :
In this paper an overview of relevant developments in visual relevance feedback based image retrieval is presented. Important problems of content-based image retrieval are analyzed and relevant findings from the evaluation of our framework are reported
Keywords :
content-based retrieval; image retrieval; relevance feedback; semantic Web; content-based image retrieval systems; semantic meaning; taxonomy; visual relevance feedback; Content based retrieval; Feedback; Humans; Image analysis; Image retrieval; Information retrieval; Iterative algorithms; Multimedia databases; Taxonomy; Visual system; Image retrieval; meaning; relevance feedback; semantic; taxonomy;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer as a Tool, 2005. EUROCON 2005.The International Conference on
Conference_Location :
Belgrade
Print_ISBN :
1-4244-0049-X
Type :
conf
DOI :
10.1109/EURCON.2005.1629879
Filename :
1629879
Link To Document :
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