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Summary: Accelerating Image Retrieval using Binary Haar Wavelet Transform
on the Color and Edge Directivity Descriptor
Savvas A. Chatzichristofis1 Yiannis S. Boutalis1,2 Avi Arampatzis1
1Department of Electrical & Computer Engineering,
Democritus University of Thrace, Xanthi, Greece
2Department of Electrical, Electronic and Communication Engineering,
Chair of Automatic Control, University of Erlangen-Nuremberg, Germany
{schatzic,ybout,avi}@ee.duth.gr
Abstract--In this paper, a new accelerating technique for
content-based image retrieval is proposed, suitable for the
Color and Edge Directivity Descriptor (CEDD). To date, the
experimental results presented in the literature have shown that
the CEDD demonstrates high rates of successful retrieval in
benchmark image databases. Although its storage requirements
are minimal, only 54 bytes per image, the time required for the
retrieval procedure may be practically too long when searching
on large databases. The proposed technique utilizes the Binary
Haar Wavelet Transform in order to extract from the CEDD
a smaller and more efficient descriptor, with a size of less
than 2 bytes per image, speeding up retrieval from large
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