Distributed Augmented Reality Systems: How Much Performance is Enough?

Chouiten, Mehdi; Didier, Jean‐Yves; Mallem, Malik

doi:10.1109/icmew.2012.64

Cited by 8 publications

(18 citation statements)

References 11 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The framework also supports distributed components via a specific middleware and webservices in standard formats (XML, JSON). The performance of distributed applications based on ARCS has been assessed with a methodology dedicated to AR distributed systems [19].…”

Section: Augmented Reality Component Systemmentioning

confidence: 99%

Distributed Mixed reality for diving and underwater tasks using Remotely Operated Vehicles

Chouiten

Domingues

Didier

et al. 2014

IJCSA

Self Cite

View full text Add to dashboard Cite

Taking advantage of state of the art underwater vehicles and current networking capabilities, the visionary double objective of this work is to "open to people connected to the Internet, an access to ocean depths anytime, anywhere." Today, these people can just perceive the changing surface of the sea from the shores, but ignore almost everything on what is hidden. If they could explore seabed and become knowledgeable, they would get involved in finding alternative solutions for our vital terrestrial problems-pollution, climate changes, destruction of biodiversity and exhaustion of Earth resources. The second objective is to assist professionals of underwater world in performing their tasks by augmenting the perception of the scene and offering automated actions such as wildlife monitoring and counting. The introduction of Mixed Reality and Internet in aquatic activities constitutes a technological breakthrough when compared with the status of existing related technologies. Through Internet, anyone, anywhere, at any moment will be naturally able to dive in real-time using a Remote Operated Vehicle (ROV) in the most remarkable sites around the world. The heart of this work is focused on Mixed Reality. The main challenge is to reach real time display of digital video stream to web users, by mixing 3D entities (objects or pre-processed underwater terrain surfaces), with 2D videos of live images collected in real time by a teleoperated ROV.

show abstract

Section: Augmented Reality Component Systemmentioning

confidence: 99%

Distributed Mixed reality for diving and underwater tasks using Remotely Operated Vehicles

Chouiten

Domingues

Didier

et al. 2014

IJCSA

Self Cite

View full text Add to dashboard Cite

show abstract

“…In a particular class of AR applications, video frames are captured using remotely located devices. These applications include mobile edge computing [Ali and Simeone 2017], computation offloading [Lin et al 2017] and AR distribution [Caetano et al 2014, Chouiten, Didier and Mallem 2011, Tokunaga et al 2003, Tokunaga et al 2004.…”

Section: Motivationmentioning

confidence: 99%

“…In AR distribution, users at distant locations collaborate on a common task [Chouiten, Didier and Mallem 2011]. In these systems, the integration of heterogeneous components from distinct providers becomes a major challenge, given the large amount of formats, codecs and multimedia libraries available for developers [Layaida and Hagimont 2005].…”

Section: Motivationmentioning

confidence: 99%

“…In a particular category of applications, called distributed AR, users at remote sites collaborate on the execution of a common task [Chouiten, Didier and Mallem 2011]. In these applications, services providing position tracking, 3D rendering, multimodal input and output are distributed across a computer network, implementing an AR pipeline from media capture to visualization [MacWilliams et al 2003].…”

Section: Augmented Realitymentioning

confidence: 99%

“…All frameworks are evaluated on selected criteria including ease of programming, reusability and flexibility. Ease of programming and reusability evaluation include the following aspects[Chouiten, Didier and Mallem 2011]:…”

mentioning

confidence: 99%

See 2 more Smart Citations

Deep visual tracking for fiducial markers: a pilot study in telerehabilitation

Mattioli¹

View full text Add to dashboard Cite

In the past few decades, technology evolution has brought many improvements to the field of human rehabilitation. Among these improvements, the delivery of rehabilitation services to users at distant locations-known as telerehabilitation-made it possible to provide patients with home-based therapy, reducing the need for displacement to rehabilitation centers. In addition, the use of virtual and augmented training environments have enabled realistic simulation in the rehabilitation process, enhancing patients' experience and reducing exposure to real-world risks. Despite these benefits, when used in a distributed context, Augmented Reality technology brings additional challenges to the development process, including the integration of software components provided by heterogeneous sources. Also, the development of robust tracking techniques, less prone to detection errors resulting from network transmission is desired. This particular requirement motivated the development of alternative tracking algorithms, including the use of deep neural networks in visual tracking. When designing these trackers, the major role of network's topology selection has lead to the investigation of automatic search techniques, including evolutionary computation algorithms. In this context, this work presents as contribution a software architecture model for Augmented Reality, focusing on the reliable integration of independent software components for augmented content streaming. In addition, deep visual trackers for fiducial marker detection were designed and evaluated, outperforming other trackers when processing remotely captured video frames. Finally, the application of an evolutionary algorithm in deep neural networks' topology selection is discussed, presenting competitive results when compared to state-of-the-art methods.

show abstract

Innovative Algorithms for Prioritised AR/VR Content Delivery

Silva

Bogusevschi

Muntean

2018

2018 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB)

View full text Add to dashboard Cite

This paper proposes, describes and analyses two innovative approaches which make use of the Multipath Transmission Control Protocol (MPTCP) and its multiple flows for prioritised AR/VR content delivery. The first approach involves delivery of prioritised data using a fixed subflow and therefore establishment of a virtual private channel (VPC) for sending data. The second approach introduces a novel QoS on-the-fly (QoSF) algorithm that evaluates all subflows' delivery performance and dynamically selects one of them to deliver the prioritised content with the lowest latency. Both algorithms are assessed in singlehomed and multi-homed configurations and present different performance improvements in comparison to the classic MPTCP. While QoSF algorithm demonstrates the best performance in scenarios where the delivery latency variation between subflows is high, the VPC algorithm has the best results in scenarios where this variation is smaller.

show abstract

Distributed Augmented Reality Systems: How Much Performance is Enough?

Cited by 8 publications

References 11 publications

Distributed Mixed reality for diving and underwater tasks using Remotely Operated Vehicles

Distributed Mixed reality for diving and underwater tasks using Remotely Operated Vehicles

Deep visual tracking for fiducial markers: a pilot study in telerehabilitation

Innovative Algorithms for Prioritised AR/VR Content Delivery

Contact Info

Product

Resources

About