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Threshold-free pattern-based low bit rate video coding

机译:基于阈值模式的低比特率视频编码

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Pattern-based video coding (PVC) has already established its superiority over recent video coding standard H.264, at low bit rate because of an extra pattern-mode to segment out the arbitrary shape of the moving region within the macroblock (MB). To determine the pattern-mode, the PVC however uses three thresholds to reduce the number of MBs coded using the pattern-mode. By setting these content-sensitive thresholds to any predefined values, the technique risks ignoring some MBs that would otherwise be selected by the rate-distortion optimization function for this mode. Consequently, the ultimate achievable performance is sacrificed to save motion estimation times. In this paper, a novel PVC scheme is proposed by removing all thresholds to determine this mode and hence more efficient performance is achieved without knowing the content of the video sequences. To keep computational complexity in check, pattern motion is approximated from the motion vector of the MB. In addition, efficient pattern similarity metric and new Lagrangian multipliers are also developed. The experimental results confirm that this new scheme improves the image quality by at least 0.5dB and 1.0dB compared to the existing PVC and the H.264 respectively.
机译:基于模式的视频编码(PVC)已经在最近的视频编码标准H.264上已经在低比特率下建立了其优于速率,因为额外的图案模式以分割宏块内的移动区域的任意形状(MB)。为了确定图案模式,但是PVC使用三个阈值来减少使用模式模式对编码的MB的数量。通过将这些内容敏感的阈值设置为任何预定义值,技术风险忽略了一些将由此模式的速率失真优化功能选择的MB。因此,牺牲了最终可实现的性能以节省运动估计时间。在本文中,通过去除所有阈值来提出一种新的PVC方案来确定该模式,因此在不知道视频序列的内容的情况下实现更有效的性能。为了在检查中保持计算复杂性,模式运动近似于MB的运动矢量近似。此外,还开发了有效的模式相似度公制和新的拉格朗日乘法器。实验结果证实,与现有的PVC和H.264分别相比,该新方案至少将图像质量提高了至少0.5dB和1.0dB。

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