An open and scalable architecture for delivering 3D shared visualization services to heterogeneous devices

Paravati, Gianluca; Sanna, Andrea; Lamberti, Fabrizio; Ciminiera, Luigi

doi:10.1002/cpe.1695

Cited by 12 publications

(3 citation statements)

References 19 publications

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“…The RAVE system aims to choose appropriate rendering services, either remotely or locally, based on the rendering capabilities of the client. More recent work in this area has proposed a scalable architecture for shared visualization across heterogeneous devices . In a related area, the use of a personal digital assistant (PDA) as a client for remotely steering a computational simulation has been investigated by Kalawsky and colleagues .…”

Section: Related Workmentioning

confidence: 99%

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On‐demand transmission model for remote visualization using image‐based rendering

Al-Saidi

Walker

Rana

2012

Concurrency and Computation

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Interactive distributed visualization is an emerging technology with numerous applications. However, many of the present approaches to interactive distributed visualization have limited performance because they are based on the traditional polygonal processing graphics pipeline. In contrast, image-based rendering uses multiple images of the scene instead of a three-dimensional geometrical representation, and so has the key advantage that the final output is independent of the scene complexity and depends on the desired final image resolution. Furthermore, the discrete nature of the light field dataset maps well to a hybrid solution, which can overcome the identified drawbacks. In this paper, we propose an on-demand solution for efficiently transmitting visualization data to remote users/clients. This is achieved through sending selected parts of the dataset based on the current client viewpoint, and is done instead of downloading a complete replica of the light field dataset to each client, or remotely sending a single rendered view back from a central server to the user each time the user updates their viewing parameters. The on-demand approach shows stable performance as the number of clients increases because the load on the server and the network traffic are reduced. Furthermore, detailed performance studies show that the proposed scheme outperforms the current solution in terms of interactivity measured in frames per second.ON-DEMAND TRANS. MODEL USING IBR FOR REMOTE VIZ 2329 viewpoint, two key challenges must be met and overcome. First, to ensure smooth navigation, the distributed visualization system must be capable of delivering between 10-15 frames/s to each user connected to the system [1]. Such a high interactive frame rate is generally difficult to achieve for systems with low to mid range rendering hardware. The second issue is the limitation of the network resources, such as low bandwidth and high latency. In order for distributed visualization systems to work efficiently under conditions of high user interactivity, which places a heavy load on the communication infrastructure, careful performance characterization and tuning are required. Current visualization systems require a traditional graphics pipeline, which uses three-dimensional (3D) geometrical rendering to produce a two-dimensional (2D) frame buffer, which is then sent over the network. Once datasets become sufficiently complex, the number of polygons is too large to fit into the memory of a Graphics Processing Unit, and must be paged in from the main system memory. Once the dataset is larger than the local system memory, then these data must in turn be paged in from local disk. Furthermore, mobile devices, such as smart phones, are becoming more widely used. These devices have less memory and weaker processing capabilities than desktop and laptop computers, and cannot accommodate modern Graphics Processing Units because of chip size, cost and power consumption considerations. There is, therefore, a need to investigate ways to provide inte...

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Section: Related Workmentioning

confidence: 99%

“…More recent work in this area has proposed a scalable architecture for shared visualization across heterogeneous devices [24]. With the recent development of high-performance local area networks, a variety of distributed applications have emerged.…”

Section: Introductionmentioning

confidence: 99%

On‐demand transmission model for remote visualization using image‐based rendering

Al-Saidi

Walker

Rana

2012

Concurrency and Computation

View full text Add to dashboard Cite

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“…Other solutions are proposed in [24][25][26][27][28][29]. Furthermore, control-theoretic approaches have been investigated to improve QoS in live video streaming [30,31] for highly interactive systems, such as remote visualization services [32]. The basic idea is to design closed-loop controllers to automatically adapt streaming parameters to bandwidth fluctuations.…”

mentioning

confidence: 99%

Efficient slice‐aware H.264/AVC video transmission over time‐driven priority networks

Baccaglini

Marchetto

Tillo

et al. 2013

Int J Communication

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SUMMARY This paper proposes a multimedia streaming architecture that combines network and video technologies to handle video traffic over multi‐hop access networks. In this context, resource overprovision typical of current quality of service approaches will become a limiting factor because of the increasing spread of bandwidth‐intensive multimedia applications. The proposed scheme adopts a time‐driven priority scheduling at network nodes and exploits slice classification at the video encoder to differentiate packets. The service guarantees offered by time‐driven priority, together with the packet classification, significantly reduce congestion and increase the video quality at the receiver with respect to the traditional differentiated services (DiffServ) approach, also achieving high resource utilization. This is an important result, as current DiffServ‐based architectures are far from obtaining such resource utilization in conjunction with reasonable delays and jitters. Copyright © 2013 John Wiley & Sons, Ltd.

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A camera calibration method based on two orthogonal vanishing points

Zhao

Ning

2013

Concurrency and Computation

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SUMMARY A camera calibration method based on the two vanishing points, which are orthogonal to each other, is presented in this paper. On the basis of the facts that the modulus constraint can provide an equation and that two equations can be obtained from two pairs of vanishing points, which are orthogonal to each other, the self‐calibration is quasilinearly realized. The experiment results with simulate data and real image sequences show that the presented method is efficient. Copyright © 2013 John Wiley & Sons, Ltd.

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An open and scalable architecture for delivering 3D shared visualization services to heterogeneous devices

Cited by 12 publications

References 19 publications

On‐demand transmission model for remote visualization using image‐based rendering

On‐demand transmission model for remote visualization using image‐based rendering

Efficient slice‐aware H.264/AVC video transmission over time‐driven priority networks

A camera calibration method based on two orthogonal vanishing points

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