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» Features for Image Retrieval: A Quantitative Comparison
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DAGM
2004
Springer
13 years 10 months ago
Features for Image Retrieval: A Quantitative Comparison
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 differen...
Thomas Deselaers, Daniel Keysers, Hermann Ney
IR
2008
13 years 4 months ago
Features for image retrieval: an experimental comparison
An experimental comparison of a large number of different image descriptors for content-based image retrieval is presented. Many of the papers describing new techniques and descri...
Thomas Deselaers, Daniel Keysers, Hermann Ney
ICPR
2004
IEEE
14 years 5 months ago
Classification Error Rate for Quantitative Evaluation of Content-based Image Retrieval Systems
A major problem in the field of content-based image retrieval is the lack of a common performance measure which allows the researcher to compare different image retrieval systems ...
Daniel Keysers, Hermann Ney, Thomas Deselaers
ACSW
2004
13 years 6 months ago
Visualisation and Comparison of Image Collections based on Self-organised Maps
Self-organised maps (SOM) have been widely used for cluster analysis and visualisation purposes in exploratory data mining. In image retrieval applications, SOMs have been used to...
Da Deng, Jianhua Zhang, Martin K. Purvis
ICIAP
2009
ACM
14 years 5 months ago
Color Features Performance Comparison for Image Retrieval
This paper proposes a comparison of color features for image retrieval. In particular the UCID image database has been employed to compare the retrieval capabilities of different c...
Daniele Borghesani, Costantino Grana, Rita Cucchia...