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Automatic Estimation and Compensation of Geometric Distortions in Video Copies

机译:视频副本中几何失真自动估算和补偿

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The proliferation of pirate copies of feature films on peer-to-peer networks arouses a great interest to countermeasures such as the insertion of (invisible) forensic marks in projected movies, to deter their illegal capture. The registration of pirate copies with the original content is however a prerequisite to the recovery of such embedded messages, as severe geometric distortions often occur in illegally camcorded contents. After a brief state-of-the-art in image registration, the paper details an algorithm for video registration, focusing on the compensation of geometric distortions. Control points are automatically extracted in original and copy pictures, followed by pre- and post-matching filtering steps to discard not relevant control points and erroneous matched pairs of control points respectively. This enables the accurate numerical estimation of an 8-parameter homographic distortion model, used to register the copy frames with the original reference grid. Such an image registration algorithm is inserted into a general video registration scheme. Results are presented on both natural and synthetic test material.
机译:对等网络上的特征电影的海盗副本的扩散引起了极大的兴趣,以妨碍预计电影中的(看不见的)法医标志,以阻止其非法捕获。然而,具有原始内容的海盗副本的登记是恢复此类嵌入消息的先决条件,因为在非法的内容中经常发生严重的几何失真。在图像登记的简要内容之后,纸张详细介绍了一种视频登记算法,专注于几何失真的补偿。控制点以原始图像自动提取并复制图片,然后分别进行匹配的匹配后和后匹配的过滤步骤,以分别丢弃不相关的控制点和错误的匹配对控制点。这使得能够准确地估计8个参数相同失真模型,用于使用原始参考网格注册复制帧。这种图像配准算法插入了一般视频配准方案中。结果显示在天然和合成试验材料上。

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