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000203645 005__ 20190617200722.0
000203645 022__ $$a1520-9210
000203645 0247_ $$2doi$$a10.1109/Tmm.2015.2450020
000203645 037__ $$aARTICLE
000203645 245__ $$aOptimized Packet Scheduling in Multiview Video Navigation Systems
000203645 269__ $$a2015
000203645 260__ $$bIeee-Inst Electrical Electronics Engineers Inc$$c2015$$aPiscataway
000203645 300__ $$a13
000203645 336__ $$aJournal Articles
000203645 520__ $$aIn multiview video systems, multiple cameras generally acquire the same scene from different perspectives, such that users have the possibility to select their preferred viewpoint. This results in large amounts of highly redundant data, which needs to be properly handled during encoding and transmission over resource-constrained channels. In this work, we study coding and transmission strategies in mul- ticamera systems, where correlated sources send data through a bottleneck channel to a central server, which eventually transmits views to different interactive users. We propose a dynamic correlation-aware packet scheduling optimization under delay, bandwidth, and interactivity constraints. The optimization relies both on a novel rate-distortion model, which captures the importance of each view in the 3D scene reconstruction, and on an objective function that optimizes resources based on a client navigation model. The latter takes into account the distortion experienced by interactive clients as well as the distortion variations that might be observed by clients during multiview navigation. We solve the scheduling problem with a novel trellis-based solution, which permits to formally decompose the multivariate optimization problem thereby significantly reducing the computation complexity. Simulation results show the gain of the proposed algorithm compared to baseline scheduling policies. More in details, we show the gain offered by our dynamic scheduling policy compared to static camera allocation strategies and to schemes with constant coding strategies. Finally, we show that the best scheduling policy consistently adapts to the most likely user navigation path and that it minimizes distortion variations that can be very disturbing for users in traditional navigation systems.
000203645 6531_ $$aCorrelated sources
000203645 6531_ $$ainteractive multiview streaming
000203645 6531_ $$aInteractive multiview streaming
000203645 6531_ $$amultiview navigation
000203645 6531_ $$apacket scheduling
000203645 6531_ $$acorrelated sources
000203645 6531_ $$arate-distortion optimization
000203645 6531_ $$amultiview navigation
000203645 6531_ $$amultimedia communication.
000203645 700__ $$0246986$$g229538$$uEcole Polytech Fed Lausanne, Signal Proc Lab LTS4, CH-1015 Lausanne, Switzerland$$aToni, Laura
000203645 700__ $$aMaugey, Thomas
000203645 700__ $$0241061$$g101475$$uEcole Polytech Fed Lausanne, Signal Proc Lab LTS4, CH-1015 Lausanne, Switzerland$$aFrossard, Pascal
000203645 773__ $$j17$$tIEEE Transactions on Multimedia$$k9$$q1604-1616
000203645 8564_ $$uhttp://arxiv.org/abs/1412.0954$$zURL
000203645 8564_ $$uhttps://infoscience.epfl.ch/record/203645/files/1412.0954v1.pdf$$zPreprint$$s627913$$yPreprint
000203645 909C0 $$xU10851$$0252393$$pLTS4
000203645 909CO $$ooai:infoscience.tind.io:203645$$qGLOBAL_SET$$pSTI$$particle
000203645 917Z8 $$x229538
000203645 917Z8 $$x229538
000203645 917Z8 $$x229538
000203645 917Z8 $$x229538
000203645 917Z8 $$x101475
000203645 917Z8 $$x101475
000203645 937__ $$aEPFL-ARTICLE-203645
000203645 973__ $$rREVIEWED$$sPUBLISHED$$aEPFL
000203645 980__ $$aARTICLE