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A Lossy Contour-Based Representation of Segmentation Maps Using Quadratic Transformations Motion Prediction

机译:基于二次轮廓运动预测的基于有损轮廓线的分割图表示

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摘要

In the context of object--oriented video coding, the encoding of segmentation maps defined by contour networks is particularly critical. In this paper, we present a lossy contour network encoding algorithm where both the rate distortion contour encoding based on maximum operator and the prediction error for the current frame based on quadratic motion model are combined into a optimal polygon con- tour network compression scheme. The bit rate for the contour network can be further reduced by about 20/100 in comparison with that in the optimal polygonal boundary encoding scheme using maximum operator in the rate distortion sense.
机译:在面向对象的视频编码中,轮廓网络定义的分割图的编码尤其重要。在本文中,我们提出了一种有损轮廓网络编码算法,该算法将基于最大算子的速率失真轮廓编码和基于二次运动模型的当前帧的预测误差都组合成最优的多边形轮廓网络压缩方案。与在速率失真意义上使用最大算符的最佳多边形边界编码方案相比,轮廓网络的位速率可以进一步降低约20/100。

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