Dynamic Adaptive Mesh Streaming for Real-time 3D Teleimmersion
dc.contributor.author | CROWLE, Simon | |
hal.structure.identifier | University of Thessaloniki | |
dc.contributor.author | DOUMANOGLOU, Alexandros | |
hal.structure.identifier | Laboratoire Angevin de Mécanique, Procédés et InnovAtion [LAMPA] | |
dc.contributor.author | POUSSARD, Benjamin | |
dc.contributor.author | BONIFACE, Michael | |
hal.structure.identifier | University of Thessaloniki | |
dc.contributor.author | ZARPALAS, Dimitrios | |
hal.structure.identifier | University of Thessaloniki | |
dc.contributor.author | DARAS, Petros | |
dc.date.accessioned | 2021-05-14T09:56:44Z | |
dc.date.available | 2021-05-14T09:56:44Z | |
dc.date.issued | 2015 | |
dc.date.conference | 2015-06-18 | |
dc.identifier.uri | https://oskar-bordeaux.fr/handle/20.500.12278/77815 | |
dc.description.abstractEn | 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.language.iso | en | |
dc.publisher | ACM | |
dc.subject.en | content adaptation | |
dc.subject.en | network monitoring | |
dc.subject.en | QoS | |
dc.subject.en | adaptive compression | |
dc.title.en | Dynamic Adaptive Mesh Streaming for Real-time 3D Teleimmersion | |
dc.type | Communication dans un congrès avec actes | |
dc.identifier.doi | 10.1145/2775292.2775296 | |
dc.subject.hal | Sciences de l'Homme et Société/Sciences de l'information et de la communication | |
bordeaux.page | 269-277 | |
bordeaux.hal.laboratories | Institut de Mécanique et d’Ingénierie de Bordeaux (I2M) - UMR 5295 | * |
bordeaux.institution | Université de Bordeaux | |
bordeaux.institution | Bordeaux INP | |
bordeaux.institution | CNRS | |
bordeaux.institution | INRAE | |
bordeaux.institution | Arts et Métiers | |
bordeaux.country | GR | |
bordeaux.title.proceeding | 20th International Conference on Web 3D Technology | |
bordeaux.conference.city | Heraklion, Crete | |
bordeaux.peerReviewed | oui | |
hal.identifier | hal-01169990 | |
hal.version | 1 | |
hal.origin.link | https://hal.archives-ouvertes.fr//hal-01169990v1 | |
bordeaux.COinS | ctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.date=2015&rft.spage=269-277&rft.epage=269-277&rft.au=CROWLE,%20Simon&DOUMANOGLOU,%20Alexandros&POUSSARD,%20Benjamin&BONIFACE,%20Michael&ZARPALAS,%20Dimitrios&rft.genre=proceeding |
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