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.
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Deselaers, T., Keysers, D., Ney, H. (2004). Features for Image Retrieval: A Quantitative Comparison. In: Rasmussen, C.E., Bülthoff, H.H., Schölkopf, B., Giese, M.A. (eds) Pattern Recognition. DAGM 2004. Lecture Notes in Computer Science, vol 3175. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-28649-3_28
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DOI: https://doi.org/10.1007/978-3-540-28649-3_28
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-22945-2
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