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Client-Driven Strategy of Large-Scale Scene Streaming

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 9517))

Abstract

Different from the strategy of virtual scene in the stand-alone application, web version may have larger scale scene and more users online at same time. However, because of the network delay (latency) and limitation of computational power of the servers, it causes that users unable to interactively access the virtual scene fluently. Meanwhile, the large scale virtual scene cannot be successfully loaded in the entry-level client machine. In this paper, we propose a client-driven strategy of scene streaming in order to solve large-scale data transmission. The experiment demonstrates that our method enables clients to enter the scene roaming and reduce the server network load. Meanwhile, it also adapts different network architectures.

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Acknowledgments

The research was supported jointly by National Science Foundation of China (No. 61272276), National Twelfth Five-year Plan Major Science and Technology Project (No. 2012BAC11B00-04-03), Special Research Fund of Higher College Doctorate (No. 20130072110035), Key Science and Technology Project of Jilin (No. 20140204088GX) and Tongji University Young Scholar Plan (No. 2100219052).

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Correspondence to Jinyuan Jia .

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Wen, L., Xie, N., Jia, J. (2016). Client-Driven Strategy of Large-Scale Scene Streaming. In: Tian, Q., Sebe, N., Qi, GJ., Huet, B., Hong, R., Liu, X. (eds) MultiMedia Modeling. MMM 2016. Lecture Notes in Computer Science(), vol 9517. Springer, Cham. https://doi.org/10.1007/978-3-319-27674-8_9

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  • DOI: https://doi.org/10.1007/978-3-319-27674-8_9

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-27673-1

  • Online ISBN: 978-3-319-27674-8

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