کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
528807 | 869609 | 2012 | 22 صفحه PDF | دانلود رایگان |
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.
► Theoretical comparison of 52 image descriptors by asymptotic complexity of algorithms.
► Experimental comparison of descriptors by efficiency and effectiveness criteria.
► Evaluation of descriptors on a large-scale Web scenario.
► Contraposition of performances on small- and large-scale scenarios.
► Correlation analysis of descriptors effectiveness for combination purposes.
Journal: Journal of Visual Communication and Image Representation - Volume 23, Issue 2, February 2012, Pages 359–380