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dc.contributor.authorAhmad, Shakeel
dc.contributor.authorHamzaoui, Raouf
dc.contributor.authorAl-Akaidi, Marwan, 1959-
dc.date.accessioned2010-01-05T10:29:10Z
dc.date.available2010-01-05T10:29:10Z
dc.date.issued2009-11
dc.identifier.citationAhmad, S., Hamzaoui, R. and Al-Akaidi, M. (2009) Optimal packet loss protection of progressively compressed 3D meshes. IEEE Transactions on Multimedia, 11 (7) pp. 1381-1387.en
dc.identifier.urihttp://hdl.handle.net/2086/3202
dc.description©20009 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.en
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dc.description.abstractWe consider a state of the art system that uses layered source coding and forward error correction with Reed- Solomon codes to efficiently transmit 3D meshes over lossy packet networks. Given a transmission bit budget, the performance of this system can be optimized by determining how many layers should be sent, how each layer should be packetized, and how many parity bits should be allocated to each layer such that the expected distortion at the receiver is minimum. The previous solution for this optimization problem uses exhaustive search, which is not feasible when the transmission bit budget is large.We propose instead an exact algorithm that solves this optimization problem in linear time and space. We illustrate the advantages of our approach by providing experimental results for the CPM (Compressed Progressive Meshes) mesh compression techniqueen
dc.description.sponsorshipDFG Research Training Group GK-1042.en
dc.language.isoenen
dc.publisherIEEEen
dc.titleOptimal packet loss protection of progressively compressed 3D meshesen
dc.typeArticleen
dc.identifier.doihttp://dx.doi.org/10.1109/TMM.2009.2030546
dc.researchgroupCentre for Electronic and Communications Engineering
dc.peerreviewedYesen
dc.ref2014.selected1366964034_0610680179770_15_4
dc.researchinstituteInstitute of Artificial Intelligence (IAI)en
dc.researchinstituteInstitute of Engineering Sciences (IES)en


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