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Coding of animated 3-D wireframe models for internet streaming applications: methods, systems and program products

机译:互联网流媒体应用的动画3-D线框模型的编码:方法,系统和程序产品

摘要

A 3-D wireframe model expressed in terms of nodes and vertices receives a 3-D video or like signal representative of a scene expressed in terms of a reference model, I frames and P frames. A DPCM coder takes advantage of the temporal correlation of the displacement of each vertex along every axis in the 3-D space. The 3-D signal is a set of non-zero displacements of all vertices and all nodes (sl[n, v]) at time tl. The decoded set (animation frame) of the previous instance is used as the predicted value (si-l[n, v]). The prediction error el[n, v], i.e. the difference between the current displacement set and the predicted one, is computed and quantised (el[n, v]). Finally, the quantised samples are entropy coded (ci[n, v]) using an adaptive arithmetic coding algorithm to handle the unknown data statistics. The predictive scheme described above prevents quantization error accumulation. A DPCM decoder first decodes arithmetically the received samples (‘e’ [n, v]) and computers the decoded samples (si′ [n, v]).
机译:以节点和顶点表示的3-D线框模型接收表示以参考模型,I帧和P帧表示的场景的3-D视频或类似信号。 DPCM编码器利用了每个顶点在3-D空间中沿每个轴的位移的时间相关性。 3-D信号是在时间t l 上所有顶点和所有节点(s l [n,v])的一组非零位移。将先前实例的解码集(动画帧)用作预测值(s i-1 [n,v])。计算并量化预测误差e l [n,v],即当前位移集与预测位移之差(e l [n,v] )。最后,使用自适应算术编码算法对量化后的样本进行熵编码(c i [n,v]),以处理未知数据统计信息。上述预测方案防止量化误差累积。 DPCM解码器首先对接收到的样本('e'[n,v])进行算术解码,然后将解码后的样本(s i '[n,v])计算机化。

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