Ownership protection of shape datasets with geodesic distance preservation

Protection of one's intellectual property is a topic with important technological and legal facets. The significance of this issue is amplified nowadays due to the ease of data dissemination through the internet. Here, we provide the technological mechanisms for establishing the ownership of the dataset consisting of multiple objects. The objects that we consider in this work are shapes (i.e., two dimensional contours), which abound in disciplines such as medicine, biology, anthropology and natural sciences. The protection of the dataset is achieved through means of embedding of an imperceptible ownership 'seal', that imparts only minute visual distortions. This seal needs to be embedded in the proper data space so that its removal or destruction is particularly difficult. Our technique is robust to many common transformations, such as data rotation, translation, scaling, noise addition and resampling. In addition to that, the proposed scheme also guarantees that import...

• Type: Conference
• Year: 2008
• Where: EDBT
• Authors: Michail Vlachos, Claudio Lucchese, Deepak Rajan, Philip S. Yu
• Keywords: Database, Dataset Structure, EDBT 2008, Original Dataset, Protected Dataset