In this paper an application of the TS-SOM variant of the self-organising map algorithm on the problem of copyright theft detection for bitmap images is shown. The algorithm facilitates the location of originals of copied, damaged or modified images within a database of hundreds of thousands of stock images. The method is shown to outperform binary decision tree indexing with invariant frame detection. © 2009 Springer Berlin Heidelberg.
CITATION STYLE
Prentis, P., Sjöberg, M., Koskela, M., & Laaksonen, J. (2009). Image theft detection with self-organising maps. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5768 LNCS, pp. 495–504). https://doi.org/10.1007/978-3-642-04274-4_52
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