PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

Image theft detection with self-organising maps
Philip Prentis, Mats Sjöberg, Markus Koskela and Jorma Laaksonen
In: 19th International Conference on Artificial Neural Networks, 14-17 Sep 2009, Limassol, Cyprus.


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.

EPrint Type:Conference or Workshop Item (Talk)
Project Keyword:Project Keyword UNSPECIFIED
Subjects:Machine Vision
ID Code:6677
Deposited By:Markus Koskela
Deposited On:08 March 2010