Features for Image Retrieval: A Quantitative Comparison

Features for Image Retrieval: A Quantitative Comparison

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...

Ausführliche Beschreibung

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Bibliographische Detailangaben
Hauptverfasser: Deselaers, Thomas, Keysers, Daniel, Ney, Hermann
Format: Tagungsbericht
Sprache:eng
Schlagworte:
Applied sciences
Artificial intelligence
Color Histogram
Computer science
control theory
systems
Exact sciences and technology
Image Retrieval
Learning and adaptive systems
Local Feature
Multidimensional Scaling
Query Image
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Beschreibung
Zusammenfassung: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.
ISSN:0302-9743
1611-3349
DOI:10.1007/978-3-540-28649-3_28