Localizing global descriptors for content-based image retrieval

被引:0
作者
C. Iakovidou
N. Anagnostopoulos
A. Kapoutsis
Y. Boutalis
M. Lux
S.A. Chatzichristofis
机构
[1] Democritus University of Thrace,Department of Electrical and Computer Engineering
[2] Klagenfurt University,Institute for Information Technology (ITEC)
来源
EURASIP Journal on Advances in Signal Processing | / 2015卷
关键词
Image retrieval; Local features; SIMPLE descriptors;
D O I
暂无
中图分类号
学科分类号
摘要
In this paper, we explore, extend and simplify the localization of the description ability of the well-established MPEG-7 (Scalable Colour Descriptor (SCD), Colour Layout Descriptor (CLD) and Edge Histogram Descriptor (EHD)) and MPEG-7-like (Color and Edge Directivity Descriptor (CEDD)) global descriptors, which we call the SIMPLE family of descriptors. Sixteen novel descriptors are introduced that utilize four different sampling strategies for the extraction of image patches to be used as points of interest. Designing with focused attention for content-based image retrieval tasks, we investigate, analyse and propose the preferred process for the definition of the parameters involved (point detection, description, codebook sizes and descriptors’ weighting strategies). The experimental results conducted on four different image collections reveal an astonishing boost in the retrieval performance of the proposed descriptors compared to their performance in their original global form. Furthermore, they manage to outperform common SIFT- and SURF-based approaches while they perform comparably, if not better, against recent state-of-the-art methods that base their success on much more complex data manipulation.
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