Please use this identifier to cite or link to this item:
http://bura.brunel.ac.uk/handle/2438/18331
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Bi, T | - |
dc.contributor.author | Pichon, A | - |
dc.contributor.author | Zou, L | - |
dc.contributor.author | Chen, S | - |
dc.contributor.author | Ghinea, G | - |
dc.contributor.author | Muntean, GM | - |
dc.date.accessioned | 2019-06-06T15:12:29Z | - |
dc.date.available | 2018-06-12 | - |
dc.date.available | 2019-06-06T15:12:29Z | - |
dc.date.issued | 2018-06-12 | - |
dc.identifier.citation | Bi, T., Pichon, A., Zou, L., Chen, S., Ghinea, G. and Muntean, G.M. (2018) 'A DASH-based mulsemedia adaptive delivery solution', MMVE '18: Proceedings of the 10th International Workshop on Immersive Mixed and Virtual Environment Systems, Amsterdam, Netherlands, 12-15 June, pp. 1 - 6. doi: 10.1145/3210438.3210443. | en_US |
dc.identifier.isbn | 9781450357715 | - |
dc.identifier.uri | https://bura.brunel.ac.uk/handle/2438/18331 | - |
dc.description.sponsorship | European Union’s Horizon 2020 Research and Innovation programme via Grant Agreement no. 688503 for NEWTON (http://newtonproject.eu); China Postdoctoral Science Foundation | en_US |
dc.format.extent | 1 - 6 | - |
dc.format.medium | Electronic | - |
dc.language.iso | en | en_US |
dc.publisher | ACM | en_US |
dc.subject | DASH | en_US |
dc.subject | mulsemedia | en_US |
dc.subject | adaptation | en_US |
dc.subject | synchronization | en_US |
dc.title | A DASH-based mulsemedia adaptive delivery solution | en_US |
dc.type | Conference Paper | en_US |
dc.identifier.doi | https://doi.org/10.1145/3210438.3210443 | - |
dc.relation.isPartOf | Proceedings of the 10th ACM Workshop on Immersive Mixed and Virtual Environment Systems, MMVE 2018 | - |
pubs.publication-status | Published | - |
dcterms.spatial | Amsterdam, Netherlands | - |
Appears in Collections: | Dept of Computer Science Research Papers |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
FullText.pdf | 1.82 MB | Adobe PDF | View/Open |
Items in BURA are protected by copyright, with all rights reserved, unless otherwise indicated.