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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的自动估计和补偿

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摘要

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:点对点网络上故事电影的盗版复制品激起了人们对反措施的极大兴趣,例如在放映的电影中插入(不可见的)取证标记,以阻止其被非法捕获。但是,将盗版内容与原始内容进行注册是恢复此类嵌入消息的先决条件,因为在非法录制的内容中经常会出现严重的几何失真。在简要介绍了图像配准的最新技术之后,本文详细介绍了一种用于视频配准的算法,重点是几何失真的补偿。在原始图片和复制图片中自动提取控制点,然后进行匹配前和匹配后的过滤步骤,分别丢弃无关的控制点和错误匹配的控制点对。这样就可以对8参数单应畸变模型进行精确的数值估计,该模型用于将复制帧与原始参考网格对齐。这样的图像配准算法被插入到通用视频配准方案中。结果显示在天然和合成测试材料上。

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