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A Prediction Mode-Based Information Hiding Approach for H.264/AVC Videos Minimizing the Impacts on Rate-Distortion Optimization

机译:基于预测模式的信息隐藏方法,用于H.264 / AVC视频最小化对速率失真优化的影响

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In this paper, with the data representation named intra prediction mode (IPM), an effective data hiding approach, called MIRO, integrated with H.264/AVC compression is proposed. The main principle is to minimize the embedding impacts on the video coding efficiency. First, a novel distortion function of individual IPM is designed reflecting its impact on Rate-Distortion Optimization. Secondly, the embedding structure based on syndrome-trellis codes (STCs) and interleaved sub-lattices are leveraged to minimize the overall embedding distortion. Comparative experimental results have demonstrated that, with similar embedding rates, the proposed method has much lower impacts on coding efficiency (both on the visual quality and compression efficiency) compared to other schemes.
机译:在本文中,利用名为帧内预测模式(IPM)的数据表示,提出了一种有效的数据隐藏方法,称为MIRO,与H.264 / AVC压缩集成。主要原则是最小化对视频编码效率的嵌入影响。首先,设计各个IPM的新型失真功能,其反映其对速率失真优化的影响。其次,利用基于Syndrome-Grellis码(STC)和交错子晶格的嵌入结构以最小化整体嵌入失真。比较实验结果表明,与其他方案相比,所提出的方法对编码效率(视觉质量和压缩效率)的影响大得多。

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