DocumentCode :
381919
Title :
Image information retrieval using rough set theory
Author :
Zhao, Gang ; Kobayashi, Aki ; Sakai, Yoshinori
Author_Institution :
Fac. of Eng., Tokyo Inst. of Technol., Japan
Volume :
1
fYear :
2002
fDate :
2002
Abstract :
We describe a method for automatically generating an image retrieval algorithm corresponding to keywords. The retrieval algorithm that we proposed consists of a scalar quantizer and discriminator and can be generated quickly and automatically by utilizing the idea of rough set theory. We demonstrated through experiments that the proposed method is effective to generate image retrieval algorithms.
Keywords :
content-based retrieval; image processing; image retrieval; quantisation (signal); rough set theory; Advanced Image Retrieval System; automatic image retrieval algorithm generation; content-based image retrieval; discriminator; image information retrieval; keywords; rough set theory; scalar quantizer; Content based retrieval; Image databases; Image generation; Image retrieval; Information retrieval; Internet; Joining processes; Set theory; Shape; Spatial databases;
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.2002.1038049
Filename :
1038049
Link To Document :
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