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Sketch-based Image Retrieval:
Benchmark and Bag-of-Features Descriptors
Mathias Eitz, Kristian Hildebrand, Tamy Boubekeur and Marc Alexa
IEEE Transactions on Visualization and Computer Graphics, 2010
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Abstract
We introduce a benchmark for evaluating the performance of large scale sketch-based image retrieval systems. The necessary data is acquired in a controlled user study where subjects rate how well given sketch/image pairs match. We suggest how to use the data for evaluating the performance of sketch-based image retrieval systems. The benchmark data as well as the large image database are made publicly available for further studies of this type. Furthermore, we develop new descriptors based on the bag-of-features approach and use the benchmark to demonstrate that they significantly outperform other descriptors in the literature.
Resources
Full data set available here.
BibTex Reference:
@article{Eitz:2010:SBIRBoF,
author = {Eitz, Mathias and Hildebrand, Kristian and Boubekeur, Tamy and Alexa, Marc},
title = {Sketch-based image retrieval: benchmark and bag-of-features descriptors.},
journal ={IEEE Transactions on Visualization and Computer Graphics},
year = {2010},
}
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