DocumentCode :
1937041
Title :
Image Retrieval Technology of Multi-MPEG-7 Features Based on Genetic Algorithm
Author :
Liu, Ming-sheng ; Li, Jian-Hua ; Liu, Hui
Author_Institution :
Handan Coll., Handan
Volume :
6
fYear :
2007
fDate :
19-22 Aug. 2007
Firstpage :
3549
Lastpage :
3555
Abstract :
A content-based image retrieval (CBIR) system, especially the WEB-based CBIR system must be able to acknowledge different interpretations, which can be universally passed onto or accessed by a device or a computer code whether they are from CBIR system itself or from outer. In addition, the CBIR system must consider the different angles of human visual system. In order to realize such functions, MPEG-7 is employed with the aim to provide fundamental tools for describing multimedia contents and genetic algorithm is used to optimize the retrieval feature spaces so as to make the retrieval universal and to get the best result set. Experiments show that the retrieval efficiency can be significantly increased in comparison with the efficient content-based image retrieval.
Keywords :
genetic algorithms; image retrieval; genetic algorithm; image retrieval; multi-MPEG-7 features; Content based retrieval; Cybernetics; Feature extraction; Genetic algorithms; Image retrieval; Information retrieval; Internet; MPEG 7 Standard; Machine learning; Multimedia systems; CBIR; Genetic algorithm; MPEG-7; Optimization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Machine Learning and Cybernetics, 2007 International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
978-1-4244-0973-0
Electronic_ISBN :
978-1-4244-0973-0
Type :
conf
DOI :
10.1109/ICMLC.2007.4370762
Filename :
4370762
Link To Document :
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