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Blind Detection for Disparity-Coherent Stereo Video Watermarking

机译:视差相关立体声视频水印的盲检测

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Stereo video content calls for new watermarking strategies, e.g. to achieve robustness against virtual view synthesis. Prior works focused either on inserting the watermark in an invariant domain or on guaranteeing that the watermarks introduced in the left and right views are coherent with the disparity of the scene. However, the first approach raises fidelity issues while the second requires side information at detection i.e. the detector is not blind. In this paper, we propose a new blind detection procedure for disparity-coherent watermarks. In a nutshell, the detector relies on cross-correlation to aggregate the scattered pieces of the embedded reference watermark pattern rather than warping the reference pattern according to the parameters of the current view prior to detection. Reported experimental results indicate that this revisited detector successfully manages to retrieve embedded watermarks even after lossy compression.
机译:立体声视频内容需要新的水印策略,例如以实现针对虚拟视图合成的鲁棒性。先前的工作着重于在不变域中插入水印或确保左视图和右视图中引入的水印与场景的差异一致。然而,第一种方法引起保真度问题,而第二种方法在检测时需要辅助信息,即检测器不是盲目的。在本文中,我们提出了一种新的视差相干水印盲检测程序。简而言之,检测器依靠互相关来聚集嵌入的参考水印图案的散布片段,而不是根据检测之前当前视图的参数扭曲参考图案。报告的实验结果表明,即使经过有损压缩,这种重新访问的检测器也可以成功地检索嵌入的水印。

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