Image retrieval using annular histograms of simple binarized feature vectores generated from DCT coefficients

The discrete cosine transform (DCT) is a widely used technique in content image retrieval. This transform concentrate signal energy into lower order coefficients. In this paper, the construction of DC feature vector and three type of simple binarized feature vectors generated from AC DCT coefficient...

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Bibliographic Details
Main Author: Supic, H.
Format: Conference Proceeding
Language:English
Subjects:
annular histograms
binarized feature vector
DCT Coefficients
Discrete cosine transforms
Feature extraction
Histograms
Image color analysis
Image retrieval
Quantization
Vectors
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Summary:The discrete cosine transform (DCT) is a widely used technique in content image retrieval. This transform concentrate signal energy into lower order coefficients. In this paper, the construction of DC feature vector and three type of simple binarized feature vectors generated from AC DCT coefficients is presented. Next, in order to capture spatial layout information, annular histograms of introduced feature vectors are described. Despite of the simplicity of introduced binarized feature vectors, experimental results shows that these vectors can contribute to the overall retrieval performances.
DOI:10.1109/ICAT.2011.6102105