DocumentCode :
2338107
Title :
INDI - intelligent database navigation by interactive and intuitive content-based image retrieval
Author :
Kämpfe, Tanja ; Käster, Thomas ; Pfeiffer, Michael ; Ritter, Helge ; Sagerer, Gerhard
Author_Institution :
Appl. Comput. Sci. & Neuroinformatics Group, Bielefeld Univ., Germany
Volume :
3
fYear :
2002
fDate :
24-28 June 2002
Firstpage :
921
Abstract :
We present a content-based image retrieval system, INDI (techniques for Intelligent Navigation in Digital Image databases), that combines the use of low-level pattern recognition techniques, machine learning and an intuitive human-computer interface in order to support intelligent and user-friendly semantic navigation in large image databases. To keep independence from specific image domains and to encompass different search tasks, the system is highly modular and contains a hierarchical mechanism for the adaptive reweighting of similarity measures implemented by dynamically reloadable modules at different semantic levels.
Keywords :
computer vision; content-based retrieval; feature extraction; image processing; image retrieval; interactive systems; learning (artificial intelligence); relevance feedback; user interfaces; visual databases; CBIR; computer vision; content-based image retrieval; content-based retrieval; digital image databases; feature extraction; intelligent database navigation; interactive image retrieval; intuitive human-computer interface; machine learning; pattern recognition; relevance feedback; semantic navigation; similarity measures; Content based retrieval; Deductive databases; Digital images; Image databases; Image retrieval; Information retrieval; Learning systems; Machine learning; Navigation; Pattern recognition;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Processing. 2002. Proceedings. 2002 International Conference on
ISSN :
1522-4880
Print_ISBN :
0-7803-7622-6
Type :
conf
DOI :
10.1109/ICIP.2002.1039123
Filename :
1039123
Link To Document :
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