Traitor-tracing aided by compressed SURF image features

Guillaume Gigaud, P. Moulin
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Abstract

Traitor-tracing (aka fingerprinting) has received much attention as a possible solution for protecting media copyrights. However, all the current schemes for images and video lack robustness against geometric attacks. We propose a novel semi-blind algorithm that can cope with such attacks. The algorithm uses compressed SURF features as side information in order to estimate and invert the geometric attack. Moreover the algorithm is highly robust against cropping and additive white noise.
利用压缩SURF图像特征辅助叛徒跟踪
作为保护媒体版权的一种可能的解决方案,叛徒追踪(又名指纹识别)受到了广泛关注。然而,目前所有的图像和视频方案都缺乏对几何攻击的鲁棒性。我们提出了一种新的半盲算法来应对这种攻击。该算法利用压缩后的SURF特征作为侧信息来估计和反演几何攻击。此外,该算法对裁剪和加性白噪声具有很强的鲁棒性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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