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    A DASH-Based Adaptive Multiple Sensorial Content Delivery Solution for Improved User Quality of Experience


    Zou, Longhao, Bi, Ting and Muntean, Gabriel-Miro (2019) A DASH-Based Adaptive Multiple Sensorial Content Delivery Solution for Improved User Quality of Experience. IEEE Access, 7. pp. 89172-89187. ISSN 2169-3536

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    Abstract

    Increasing number of researchers are focusing on the emerging communication technologies which enrich user perceived quality of experience by involving vision, auditory, tactile, olfaction, gustatory, and other senses. However, there are multiple challenges related to using multiple sensorial media (i.e., mulsemedia), including synchronization with the traditional multimedia content and delivery over diverse network environments. This paper proposes MulseDASH, a novel multiple sensorial media content delivery solutions based on the Dynamic Adaptive Streaming over HTTP standard (DASH). MulseDASH is described and evaluated in a real test-bed in terms of the effectiveness of its adaptive streaming and synchronization mechanisms. The extensive testing involving both network emulation and subjective assessment experiments shows how MulseDASH performs an excellent real-time streaming adjustment to match network conditions and improves user quality of experience.
    Item Type: Article
    Additional Information: This work is licensed under a Creative Commons Attribution 3.0 License. For more information, see http://creativecommons.org/licenses/by/3.0/ . Cite as: L. Zou, T. Bi and G. -M. Muntean, "A DASH-Based Adaptive Multiple Sensorial Content Delivery Solution for Improved User Quality of Experience," in IEEE Access, vol. 7, pp. 89172-89187, 2019, doi: 10.1109/ACCESS.2019.2926207.
    Keywords: Mulsemedia; MPEG DASH; quality of experience;
    Academic Unit: Faculty of Science and Engineering > Chemistry
    Faculty of Science and Engineering > Maynooth International Engineering College
    Faculty of Science and Engineering > Research Institutes > Hamilton Institute
    Item ID: 15661
    Identification Number: 10.1109/ACCESS.2019.2926207
    Depositing User: Ting Bi
    Date Deposited: 11 Mar 2022 15:20
    Journal or Publication Title: IEEE Access
    Publisher: IEEE
    Refereed: Yes
    Related URLs:
    URI: https://mu.eprints-hosting.org/id/eprint/15661
    Use Licence: This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here

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