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