Abstract
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.
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Prentis, P., Sjöberg, M., Koskela, M., Laaksonen, J. (2009). Image Theft Detection with Self-Organising Maps. In: Alippi, C., Polycarpou, M., Panayiotou, C., Ellinas, G. (eds) Artificial Neural Networks – ICANN 2009. ICANN 2009. Lecture Notes in Computer Science, vol 5768. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04274-4_52
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DOI: https://doi.org/10.1007/978-3-642-04274-4_52
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-04273-7
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