Feature Extraction Using Overlay Blocks and Maximal Eigenvalues for Image Retrieval

In order to organize, manage, browse and retrieve image database effectively, we proposed a novel technique for content based image retrieval using overlay blocks and maximal eigenvalues. Because image pixels have strong relationship with each other, the proposed algorithm generates feature vectors...

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Bibliographic Details
Published in2010 12th International Conference on Computer Modelling and Simulation pp. 243 - 247
Main Authors Hui Zhao, Jimin Lee, Minhyuk Chang, Jonghun Chun, Jongan Park
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.03.2010
Subjects
Block truncation code
CBIR
Content based retrieval
Content management
Eigenvalues and eigenfunctions
Feature extraction
Image coding
Image databases
Image retrieval
Information retrieval
Maximal eigenvalue
Overlay blocks
Pixel
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Summary:In order to organize, manage, browse and retrieve image database effectively, we proposed a novel technique for content based image retrieval using overlay blocks and maximal eigenvalues. Because image pixels have strong relationship with each other, the proposed algorithm generates feature vectors that use overlay parts between adjacent image blocks, and generates the binary map using maximal eigenvalues and block truncation technique for image retrieval. It was noticed that the binary map generated using the proposed method could reflect the target object information more efficiently. The experimental results show that the indexes have good ability of characterizing the image contents.
ISBN:1424466148
9781424466146
DOI:10.1109/UKSIM.2010.52