Home // International Journal On Advances in Networks and Services, volume 4, numbers 1 and 2, 2011 // View article
Authors:
Savvas Chatzichristofis
Yiannis Boutalis
Avi Arampatzis
Keywords: CEDD; Binary Haar Wavelet Transform; Content-Based Image Retrieval;
Abstract:
In this paper, we are evaluating several accelerating techniques for content-based image retrieval, suitable for the Color and Edge Directivity Descriptor (CEDD). To date, the experimental results presented in the literature have shown that the CEDD achieves high rates of successful retrieval in benchmark image databases. Although its storage requirements are minimal, only 54 bytes per image, the time required for retrieval 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 image databases. This descriptor describes the CEDD, but not necessarily the image from which it is extracted. The effectiveness of the proposed method is demonstrated through experiments performed on several known benchmarking databases.
Pages: 223 to 231
Copyright: Copyright (c) to authors, 2011. Used with permission.
Publication date: September 15, 2011
Published in: journal
ISSN: 1942-2644