Image Replica Detection based on Support Vector Classifier

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.


Published in:
Proceedings of the SPIE 50th Annual Meeting, Applications of Digital Image Processing XXVIII
Year:
2005
Publisher:
IEEE
Keywords:
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 Record created 2006-06-14, last modified 2018-11-26

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