Robust transmission of 3D geometry over lossy networks

Chen, Zhihua; Bodenheimer, Bobby; Barnes, J. Fritz

doi:10.1145/636593.636618

Cited by 29 publications

(10 citation statements)

References 26 publications

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“…Progressive meshes was the basis that sparked much of the subsequent 3D streaming research (e.g. compressed progressive meshes [Pajarola and Rossignac 2000], streaming over lossy transmission links [Chen et al 2003], over wireless channels [Yang and Kuo 2003], and QoS-related streaming [Chen and Nishita 2002]). As the original progressive meshes did not consider the user's viewing angle, yet visual relevance may be improved if current visible areas are given priorities during transmission, view-dependent streaming has since been investigated [Kim et al 2004].…”

Section: D Streamingmentioning

confidence: 99%

A case for 3D streaming on peer-to-peer networks

2006

Proceedings of the Eleventh International Conference on 3D Web Technology

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One of the most serious issues holding back the widespread of 3D contents on Internet has been their inaccessibility due to large data volume. Many compression and progressive transmission techniques, as well as format standards, have been proposed in recent years to make 3D streaming increasingly viable for the efficient and accessible delivery of 3D contents. However, existing proposals have yet to seriously address one of the most important issues in practical adoption -a system's scalability in terms of the number of concurrent users. We argue that due to 3D contents' large data volume and interactive nature, client-server architecture, with its inherently fixed resource availability and high cost, will not be suitable to support popular Internet-scale 3D streaming. On the other hand, peer-to-peer (P2P) architectures hold the promise of both scalability and affordability. In this position paper, we describe the potential promises and challenges in adapting 3D streaming to P2P networks, using multi-user networked virtual environment (NVE) as an example. We also propose Flowing LoD (FLoD), a scalable, distributed and fault-tolerant P2P 3D streaming mechanism, that is based on Voronoi-based Overlay Network (VON), a P2P overlay specifically designed for NVE applications.

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Section: D Streamingmentioning

confidence: 99%

A case for 3D streaming on peer-to-peer networks

2006

Proceedings of the Eleventh International Conference on 3D Web Technology

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“…Even though issues of multimedia transmission over wireless networks have received attention [36], [41], [86], relatively little work has been done addressing wireless 3-D transmission. In recent research, approaches for robust transmission of mesh over wireless networks [1]- [3], [22] have been outlined. However, these methods do not take joint texture and mesh transmission into account.…”

Section: Introductionmentioning

confidence: 99%

Perceptually Optimized 3-D Transmission Over Wireless Networks

Cheng

Basu

2007

IEEE Trans. Multimedia

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“…Even though issues of multimedia transmission over wireless networks have received attention [4], relatively little work has been done addressing wireless 3D transmission. In recent research, approaches for robust transmission of mesh over wireless networks [5,6] have been outlined. However, these methods do not take joint texture and mesh transmission into account.…”

Section: Introductionmentioning

confidence: 99%

“…However, these methods do not take joint texture and mesh transmission into account. Also, in [5,6], it is assumed that some parts of the mesh can be transmitted without loss over a wireless network, allowing progressive mesh transmission to give good results. However, this assumption implies implementing a special standard with a combination of UDP and TCP protocols, which in general cannot be guaranteed in an arbitrary wireless environment.…”

Section: Introductionmentioning

confidence: 99%

Packet-Loss Modeling for Perceptually Optimized 3D Transmission

Cheng

Ying

Basu

2007

Advances in Multimedia

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Transmissions over unreliable networks, for example, wireless, can lead to packet loss. An area that has received limited research attention is how to tailor multimedia information taking into account the way packets are lost. We provide a brief overview of our research on designing a 3D perceptual quality metric integrating two important factors, resolution of texture and resolution of mesh, which control transmission bandwidth, followed by a suggestion on alternative strategies for packet 3D transmission of both texture and mesh. These strategies are then compared with respect to preserving 3D perceptual quality under packet loss in ad hoc wireless networks. Experiments are conducted to study how buffer size, sending rate, sending intervals, and packet size can affect loss in unreliable channels. A model for estimating the optimal packet size is then proposed. We derive the optimal number of packets based on this model, and relate the theoretical derivations to actual network data.

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Robust transmission of 3D geometry over lossy networks

Cited by 29 publications

References 26 publications

A case for 3D streaming on peer-to-peer networks

A case for 3D streaming on peer-to-peer networks

Perceptually Optimized 3-D Transmission Over Wireless Networks

Packet-Loss Modeling for Perceptually Optimized 3D Transmission

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