Abstract
In this paper, different well-known features for image retrieval are quantitatively compared and their correlation is analyzed. We compare the features for two different image retrieval tasks (color photographs and medical radiographs) and a clear difference in performance is observed, which can be used as a basis for an appropriate choice of features. In the past a systematic analysis of image retrieval systems or features was often difficult because different studies usually used different data sets and no common performance measures were established. © Springer-Verlag 2004.
Cite
CITATION STYLE
Deselaers, T., Keysers, D., & Ney, H. (2004). Features for image retrieval: A quantitative comparison. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 3175, 228–236. https://doi.org/10.1007/978-3-540-28649-3_28
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