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Proceedings Paper

Image replica detection based on support vector classifier
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Paper Abstract

In this paper, we propose a technique for image replica detection. By replica, we mean equivalent versions of a given reference image, e.g. after it has undergone operations such as compression, filtering or resizing. Applications of this technique include discovery of copyright infringement or detection of illicit content. The technique is based on the extraction of multiple features from an image, namely texture, color, and spatial distribution of colors. Similar features are then grouped into groups and the similarity between two images is given by several partial distances. The decision function to decide whether a test image is a replica of a given reference image is finally derived using Support Vector Classifier (SVC). In this paper, we show that this technique achieves good results on a large database of images. For instance, for a false negative rate of 5 % the system yields a false positive rate of only 6 • 10-5.

Paper Details

Date Published: 20 September 2005
PDF: 9 pages
Proc. SPIE 5909, Applications of Digital Image Processing XXVIII, 59090I (20 September 2005); doi: 10.1117/12.623823
Show Author Affiliations
Y. Maret, Ecole Polytechnique Fédérale de Lausanne (Switzerland)
F. Dufaux, Ecole Polytechnique Fédérale de Lausanne (Switzerland)
T. Ebrahimi, Ecole Polytechnique Fédérale de Lausanne (Switzerland)

Published in SPIE Proceedings Vol. 5909:
Applications of Digital Image Processing XXVIII
Andrew G. Tescher, Editor(s)

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