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An Effective Error Resilient Packetization Scheme For Progressive Mesh Transmission Over Unreliable Networks

机译:在不可靠网络上进行渐进式网状传输的有效差错弹性分组方案

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摘要

When a 3D model is transmitted over a lossy network, some model information may inevitably be missing. Under such situation, one may not be able to visualize the receiving model unless the lost model information has been retransmitted. Progressive model transmission offers an alternative to avoid the "all or nothing situation" by allowing a model to be visualized with a degraded quality when only part of the model data has been received. Unfortunately, in case some model refinement information is missing, one may still need to wait for such information to be retransmitted before the model can be rendered with a desired visual quality. To address this problem, we have developed a novel error resilient packetization scheme. We first construct a Non-Redundant Directed Acyclic Graph to encode the dependencies among the vertex splits of a progressive mesh. A special Global Graph Equipartition Packing Algorithm is then applied to partitioning this graph into several equal size sub-graphs, which is packed as packets. The packing algorithm comprises two main phases: initial partition phase and global refinement phase. Experimental results demonstrate that the proposed scheme can minimize the dependencies between packets. Hence, it reduces the delay in rendering 3D models with proper quality at the clients.
机译:在有损网络上传输3D模型时,某些模型信息可能不可避免地会丢失。在这种情况下,除非丢失的模型信息已重新传输,否则可能无法可视化接收模型。渐进式模型传输为避免“全有或全无”的情况提供了一种替代方法,它可以在仅接收到部分模型数据时以降低的质量可视化模型。不幸的是,如果缺少一些模型改进信息,则可能仍需要等待此类信息重传,然后才能以所需的视觉质量渲染模型。为了解决这个问题,我们开发了一种新颖的防错分组方案。我们首先构造一个非冗余有向无环图,以对渐进式网格的顶点拆分之间的相关性进行编码。然后,将特殊的全局图等分打包算法应用于将该图划分为几个相等大小的子图,这些子图打包为数据包。打包算法包括两个主要阶段:初始分区阶段和全局优化阶段。实验结果表明,该方案可以最大程度地减少数据包之间的依赖性。因此,它减少了在客户端渲染具有适当质量的3D模型时的延迟。

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