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An affine motion compensation framework for high efficiency video coding

机译:用于高效视频编码的仿射运动补偿框架

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As the translational motion model used in recent video coding standards cannot represent the complex motion such as rotation and zooming well, a simple local affine motion compensation framework supporting multiple reference frames is proposed in this paper to characterize the complex motion. Besides, since the commonly used fast motion estimation for affine motion model is still quite complex, a fast gradient based affine motion estimation algorithm is proposed to decrease the encoder complexity. The proposed algorithm is implemented into the test model of the newest video coding standard High Efficiency Video Coding (HEVC). Experimental results show that the bit rate reduction for sequences with complex motion can be up to 16.8%.
机译:由于最近的视频编码标准中使用的平移运动模型不能很好地表示复杂的运动,例如旋转和缩放,因此本文提出了一种支持多个参考帧的简单局部仿射运动补偿框架来表征复杂的运动。此外,由于仿射运动模型常用的快速运动估计仍然很复杂,因此提出了一种基于快速梯度的仿射运动估计算法,以降低编码器的复杂度。该算法在最新的视频编码标准高效视频编码(HEVC)的测试模型中得以实现。实验结果表明,具有复杂运动的序列的比特率降低可以达到16.8%。

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