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Improved prediction for layered predictive animated mesh compression

机译:分层预测动画网格压缩的改进预测

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In this paper, we deal with layered predictive compression of animated meshes represented by series of 3D static meshes with same connectivity. We propose two schemes to improve the prediction. First improvement is using weighted spatial prediction rather than averaging neighbor vertices. The second improvement is a novel predictor based on rotation angle of incident triangles in current and previous frames. The experimental results show that around 6-10 % bitrate reduction can be achieved by replacing the spatial prediction in the reference coder with the proposed weighted spatial prediction and 9-18 % bitrate reduction is possible with the proposed angle based predictor using weighted spatial prediction, depending on the content and quantization level.
机译:在本文中,我们处理由具有相同连通性的一系列3D静态网格物体表示的动画网格物体的分层预测压缩。我们提出两种方案来改善预测。第一个改进是使用加权空间预测,而不是平均相邻顶点。第二个改进是基于当前和先前帧中入射三角形的旋转角度的新颖预测器。实验结果表明,通过使用建议的加权空间预测替换参考编码器中的空间预测,可以实现大约6-10%的比特率降低;使用建议的基于角度的预测器使用加权的空间预测,可以将参考编码器中的空间预测替换为9-18%的比特率;取决于内容和量化级别。

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