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Comparative study of global color and texture descriptors for web image retrieval
- Source :
-
Journal of Visual Communication & Image Representation . Feb2012, Vol. 23 Issue 2, p359-380. 22p. - Publication Year :
- 2012
-
Abstract
- Abstract: This paper presents a comparative study of color and texture descriptors considering the Web as the environment of use. We take into account the diversity and large-scale aspects of the Web considering a large number of descriptors (24 color and 28 texture descriptors, including both traditional and recently proposed ones). The evaluation is made on two levels: a theoretical analysis in terms of algorithms complexities and an experimental comparison considering efficiency and effectiveness aspects. The experimental comparison contrasts the performances of the descriptors in small-scale datasets and in a large heterogeneous database containing more than 230 thousand images. Although there is a significant correlation between descriptors performances in the two settings, there are notable deviations, which must be taken into account when selecting the descriptors for large-scale tasks. An analysis of the correlation is provided for the best descriptors, which hints at the best opportunities of their use in combination. [Copyright &y& Elsevier]
Details
- Language :
- English
- ISSN :
- 10473203
- Volume :
- 23
- Issue :
- 2
- Database :
- Academic Search Index
- Journal :
- Journal of Visual Communication & Image Representation
- Publication Type :
- Academic Journal
- Accession number :
- 70946355
- Full Text :
- https://doi.org/10.1016/j.jvcir.2011.11.002