Image replica detection based on support vector classifier

Y. Maret; F. Dufaux; T. Ebrahimi

doi:10.1117/12.623823

20 September 2005 Image replica detection based on support vector classifier

Y. Maret, F. Dufaux, T. Ebrahimi

Proceedings Volume 5909, Applications of Digital Image Processing XXVIII; 59090I (2005) https://doi.org/10.1117/12.623823
Event: Optics and Photonics 2005, 2005, San Diego, California, United States

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.

Citation Download Citation

Y. Maret, F. Dufaux, and T. Ebrahimi "Image replica detection based on support vector classifier", Proc. SPIE 5909, Applications of Digital Image Processing XXVIII, 59090I (20 September 2005); https://doi.org/10.1117/12.623823

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