Dynamic Adaptive Mesh Streaming for Real-time 3D Teleimmersion
dc.contributor.author
hal.structure.identifier | CROWLE, Simon
|
dc.contributor.author
hal.structure.identifier | DOUMANOGLOU, Alexandros
|
dc.contributor.author
hal.structure.identifier | POUSSARD, Benjamin
|
dc.contributor.author
hal.structure.identifier | BONIFACE, Michael
|
dc.contributor.author
hal.structure.identifier | ZARPALAS, Dimitrios
|
dc.contributor.author
hal.structure.identifier | DARAS, Petros
|
dc.date.accessioned | 2015 |
dc.date.available | 2016 |
dc.date.issued | 2015 |
dc.date.submitted | 2015 |
dc.identifier.isbn | 978-1-4503-3647-5 |
dc.identifier.uri | http://hdl.handle.net/10985/9665 |
dc.description.abstract | Recent advances in full body 3D reconstruction methods have lead to the realisation of high quality, real-time, photo realistic capture of users in a range of tele-immersion (TI) contexts including gaming and mixed reality environments. The full body reconstruction (FBR) process is computationally expensive requiring comparatively high CPU, GPU and network resources in order to maintain a shared, virtual reality in which high quality 3D reproductions of users can be rendered in real-time. A significant optimisation of the delivery of FBR content has been achieved through the realtime compression and de-compression of 3D geometry and textures. Here we present a new, adaptive compression methodology that allows a TI system called 3D-LIVE to modify the quality and speed of a FBR TI pipeline based on the data carrying capability of the network. Our rule-based adaptation strategy uses network performance sampling processes and a configurable rule engine to dynamically alter the compression of FBR reconstruction on-the-fly. We demonstrate the efficacy of the approach with an experimental evaluation of system and conclude with a discussion of future directions for adaptive FBR compression. |
dc.description.sponsorship | This work was supported by the EU funded project 3DLIVE, GA 318483. http://3dliveproject.eu/ |
dc.language.iso | en |
dc.publisher | ACM |
dc.rights | Post-print |
dc.subject | adaptive compression |
dc.subject | content adaptation |
dc.subject | network monitoring |
dc.subject | QoS |
dc.title | Dynamic Adaptive Mesh Streaming for Real-time 3D Teleimmersion |
ensam.embargo.terms | 1 Year |
dc.identifier.doi | 10.1145/2775292.2775296 |
dc.typdoc | Communication avec acte |
dc.localisation | Centre de Angers |
dc.subject.hal | Sciences de l'Homme et Société: Sciences de l'information et de la communication |
ensam.audience | Internationale |
ensam.conference.title | 20th International Conference on Web 3D Technology |
ensam.conference.date | 2015-06-18 |
ensam.country | Grèce |
ensam.title.proceeding | Proceedings of the 20th International Conference on 3D Web Technology |
ensam.page | 269-277 |
ensam.city | Heraklion, Crete |
hal.identifier | hal-01169990 |
hal.version | 1 |
hal.status | accept |