Towards Multi-Site Collaboration in 3D Tele-Immersive Environments

Wanmin Wu, Zhenyu Yang, K. Nahrstedt, G. Kurillo, R. Bajcsy
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引用次数: 29

Abstract

3D tele-immersion (3DTI) has recently emerged as a new way of video-mediated collaboration across the Internet. Unlike conventional 2D video-conferencing systems, it can immerse remote users into a shared 3D virtual space so that they can interact or collaborate "virtually". However, most existing 3DTI systems can support only two sites of collaboration, due to the huge demand of networking resources and the lack of a simple yet efficient data dissemination model. In this paper, we propose to use a general publish-subscribe model for multi-site 3DTI systems, which efficiently utilizes limited network resources by leveraging user interest. We focus on the overlay construction problem in the publish-subscribe model by exploring a spectrum of heuristic algorithms for data dissemination. With extensive simulation, we identify the advantages of a simple randomized algorithm. We present optimization to further improve the randomized algorithm by exploiting semantic correlation. Experimental results demonstrate that we can achieve an improvement by a factor of five.
面向3D远程沉浸式环境中的多站点协作
最近,3D远程沉浸(3DTI)作为一种新的互联网视频媒介协作方式出现了。与传统的2D视频会议系统不同,它可以让远程用户沉浸在共享的3D虚拟空间中,这样他们就可以“虚拟”地互动或协作。然而,由于对网络资源的巨大需求和缺乏一种简单而高效的数据传播模型,大多数现有的3DTI系统只能支持两个站点的协作。在本文中,我们建议在多站点3DTI系统中使用通用发布-订阅模型,该模型通过利用用户兴趣有效地利用有限的网络资源。通过探索数据传播的启发式算法,我们重点研究了发布-订阅模型中的覆盖构造问题。通过大量的仿真,我们确定了一种简单的随机化算法的优点。我们提出了利用语义关联进一步改进随机化算法的优化方法。实验结果表明,我们可以实现五倍的改进。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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