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Storage optimization for 3D streaming systems

Published: 19 March 2014 Publication History
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  • Abstract

    Three dimensional (3D) content is becoming attractive in entertainment events such as soccer games and movies. Also, 3D displays are widespread at homes, offices, and theaters. Yet, 3D content may lack good 3D experience due to varying display technologies and sizes. In addition, 3D content providers may not be able to deliver their content to all potential subscribers, which leads to viewership reduction or dissatisfaction. In this work, we propose the design of a system for enhanced 3D content streaming. In order to support all 3D display technologies and sizes in the system, we design different 3D versions of the original videos that are optimized for various displays. Moreover, we propose a storage optimization algorithm that optimizes storage usage in our system depending on versions popularity as well as storage and processing requirements. The algorithm satisfies the limited processing resources, maximum delay, and request rate requirements. We implemented and deployed the proposed system on the cloud for live testing. We simulated the proposed algorithm to study its effect on the storage requirements in 3D streaming systems. The results of the simulations show that the algorithm can achieve storage gain up to 360x compared to storing all versions.

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    Cited By

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    • (2018)Budget-Transfer: A Low Cost Inter-Service Data Storage and Transfer Scheme2018 IEEE International Congress on Big Data (BigData Congress)10.1109/BigDataCongress.2018.00022(112-119)Online publication date: Jul-2018
    • (2016)Depth Personalization and Streaming of Stereoscopic Sports VideosACM Transactions on Multimedia Computing, Communications, and Applications10.1145/289010312:3(1-23)Online publication date: 8-Mar-2016
    • (2014)AnahitaProceedings of the 22nd ACM international conference on Multimedia10.1145/2647868.2654899(337-346)Online publication date: 3-Nov-2014

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    cover image ACM Conferences
    MMSys '14: Proceedings of the 5th ACM Multimedia Systems Conference
    March 2014
    323 pages
    ISBN:9781450327053
    DOI:10.1145/2557642
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    New York, NY, United States

    Publication History

    Published: 19 March 2014

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    Author Tags

    1. 3D streaming
    2. 3D video
    3. multimedia streaming
    4. stereo video
    5. storage management
    6. storage optimization

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    MMSys '14: Multimedia Systems Conference 2014
    March 19, 2014
    Singapore, Singapore

    Acceptance Rates

    MMSys '14 Paper Acceptance Rate 15 of 57 submissions, 26%;
    Overall Acceptance Rate 176 of 530 submissions, 33%

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    • (2018)Budget-Transfer: A Low Cost Inter-Service Data Storage and Transfer Scheme2018 IEEE International Congress on Big Data (BigData Congress)10.1109/BigDataCongress.2018.00022(112-119)Online publication date: Jul-2018
    • (2016)Depth Personalization and Streaming of Stereoscopic Sports VideosACM Transactions on Multimedia Computing, Communications, and Applications10.1145/289010312:3(1-23)Online publication date: 8-Mar-2016
    • (2014)AnahitaProceedings of the 22nd ACM international conference on Multimedia10.1145/2647868.2654899(337-346)Online publication date: 3-Nov-2014

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