Title :
A semantic-based image retrieval system: VisEngine
Author :
SUN, JIAN-YONG ; SUN, ZHENG-XING ; Ruo-Hong Zhou ; WANG, HUI-FENG
Author_Institution :
State Key Lab for Novel Software Technol., Nanjing Univ., China
Abstract :
A semantic-based image retrieval system is proposed in which, prior to retrieval, main regions with plenty of semantic information are segmented from an image. Then a semantic visual template is created for these regions on the basis of weighted feature combination. These templates are stored in XML files. During retrieval, three kinds of query patterns are supplied for the user and a mining algorithm is proposed to find out which feature the user has interest in mostly in feedback images and which makes semantic information users give used adequately by the computer. Experimental results show good performance of the system based on 3400 images.
Keywords :
content-based retrieval; image retrieval; image segmentation; VisEngine; content-based image retrieval; feedback images; mining algorithm; query patterns; semantic visual template; semantic-based image retrieval system; weighted feature combination; Data mining; Feedback; Humans; Image databases; Image retrieval; Image segmentation; Information retrieval; Regions; Sections; Sun;
Conference_Titel :
Machine Learning and Cybernetics, 2002. Proceedings. 2002 International Conference on
Print_ISBN :
0-7803-7508-4
DOI :
10.1109/ICMLC.2002.1176772
