Research Article
Ground-Truth-Less Comparison of Selected Content-Based Image Retrieval Measures
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@INPROCEEDINGS{10.1007/978-3-642-12630-7_12, author={Rafał Fraczek and Michał Grega and Nicolas Liebau and Mikołaj Leszczuk and Andree Luedtke and Lucjan Janowski and Zdzisław Papir}, title={Ground-Truth-Less Comparison of Selected Content-Based Image Retrieval Measures}, proceedings={User Centric Media. First International Conference, UCMedia 2009, Venice, Italy, December 9-11, 2009, Revised Selected Papers}, proceedings_a={UCMEDIA}, year={2012}, month={10}, keywords={}, doi={10.1007/978-3-642-12630-7_12} }
- Rafał Fraczek
Michał Grega
Nicolas Liebau
Mikołaj Leszczuk
Andree Luedtke
Lucjan Janowski
Zdzisław Papir
Year: 2012
Ground-Truth-Less Comparison of Selected Content-Based Image Retrieval Measures
UCMEDIA
Springer
DOI: 10.1007/978-3-642-12630-7_12
Abstract
The paper addresses the issue of finding the best content-based image retrieval measures. First, the authors describe several image descriptors that have been used for image feature extraction. Then, the detailed description of a query by example psycho-physical experiment is presented. The paper concludes with the analysis of the results obtained.
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