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hal.structure.identifierUniversity of Southampton
dc.contributor.authorCROWLE, Simon
hal.structure.identifierUniversity of Thessaloniki
dc.contributor.authorDOUMANOGLOU, Alexandros
hal.structure.identifierLaboratoire Angevin de Mécanique, Procédés et InnovAtion [LAMPA]
dc.contributor.authorPOUSSARD, Benjamin
hal.structure.identifierUniversity of Southampton
dc.contributor.authorBONIFACE, Michael
hal.structure.identifierUniversity of Thessaloniki
dc.contributor.authorZARPALAS, Dimitrios
hal.structure.identifierUniversity of Thessaloniki
dc.contributor.authorDARAS, Petros
dc.date.accessioned2021-05-14T09:56:44Z
dc.date.available2021-05-14T09:56:44Z
dc.date.issued2015
dc.date.conference2015-06-18
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/77815
dc.description.abstractEnRecent 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.isoen
dc.publisherACM
dc.subject.encontent adaptation
dc.subject.ennetwork monitoring
dc.subject.enQoS
dc.subject.enadaptive compression
dc.title.enDynamic Adaptive Mesh Streaming for Real-time 3D Teleimmersion
dc.typeCommunication dans un congrès avec actes
dc.identifier.doi10.1145/2775292.2775296
dc.subject.halSciences de l'Homme et Société/Sciences de l'information et de la communication
bordeaux.page269-277
bordeaux.hal.laboratoriesInstitut de Mécanique et d’Ingénierie de Bordeaux (I2M) - UMR 5295*
bordeaux.institutionUniversité de Bordeaux
bordeaux.institutionBordeaux INP
bordeaux.institutionCNRS
bordeaux.institutionINRAE
bordeaux.institutionArts et Métiers
bordeaux.countryGR
bordeaux.title.proceeding20th International Conference on Web 3D Technology
bordeaux.conference.cityHeraklion, Crete
bordeaux.peerReviewedoui
hal.identifierhal-01169990
hal.version1
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-01169990v1
bordeaux.COinSctx_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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