The Earth Mover's Distance as a Metric for Image Retrieval
International Journal of Computer Vision
ACM Computing Surveys (CSUR)
The Amsterdam Library of Object Images
International Journal of Computer Vision
Similarity Search: The Metric Space Approach (Advances in Database Systems)
Similarity Search: The Metric Space Approach (Advances in Database Systems)
Approximation Techniques for Indexing the Earth Mover's Distance in Multimedia Databases
ICDE '06 Proceedings of the 22nd International Conference on Data Engineering
Efficient EMD-based similarity search in multimedia databases via flexible dimensionality reduction
Proceedings of the 2008 ACM SIGMOD international conference on Management of data
The MIR flickr retrieval evaluation
MIR '08 Proceedings of the 1st ACM international conference on Multimedia information retrieval
Efficient similarity search using the Earth Mover's Distance for large multimedia databases
ICDE '08 Proceedings of the 2008 IEEE 24th International Conference on Data Engineering
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The Earth Mover's Distance is a well-known distance measure employed in various domains, especially for content-based retrieval in multimedia databases. However, the distance evaluation is a considerably expensive task and thus for large multimedia databases, efficient query processing becomes a challenging problem. In this paper, we introduce a parameterized version of the Earth Mover's Distance that can be used by database experts to change the distance distribution in the derived distance space in order to improve the indexability. We empirically show, that we can significantly improve the indexability of the distance space and that we can tune the retrieval quality by adapting the parameterized Earth Mover's Distance.