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Multimedia Quality of Experience (QoE): Current Status and Future Direction

Author

Listed:
  • Chaminda Hewage

    (Cardiff School of Technologies, Cardiff Metropolitan University, Llandaff Campus, Western Avenue, Cardiff CF5 2YB, UK)

  • Erhan Ekmekcioglu

    (Institute for Digital Technologies, Loughborough University London, London E20 3BS, UK)

Abstract

Quality of Experience (QoE) is becoming an important factor of User-Centred Design (UCD). The deployment of pure technical measures such as Quality of Service (QoS) parameters to assess the quality of multimedia applications is phasing out due to the failure of those methods to quantify true user satisfaction. Though significant research results and several deployments have occurred and been realized over the last few years, focusing on QoE-based multimedia technologies, several issues both of theoretical and practical importance remain open. Accordingly, the papers of this Special Issue are significant contribution samples within the general ecosystem highlighted above, ranging from QoE in the capture, processing and consumption of next-generation multimedia applications. In particular, a total of five excellent articles have been accepted, following a rigorous review process, which address many of the aforementioned challenges and beyond.

Suggested Citation

  • Chaminda Hewage & Erhan Ekmekcioglu, 2020. "Multimedia Quality of Experience (QoE): Current Status and Future Direction," Future Internet, MDPI, vol. 12(7), pages 1-3, July.
    • Handle: RePEc:gam:jftint:v:12:y:2020:i:7:p:121-:d:386804
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    References listed on IDEAS

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    1. Tho Nguyen Duc & Chanh Minh Tran & Phan Xuan Tan & Eiji Kamioka, 2019. "Modeling of Cumulative QoE in On-Demand Video Services: Role of Memory Effect and Degree of Interest," Future Internet, MDPI, vol. 11(8), pages 1-18, August.
    2. Jesenka Pibernik & Jurica Dolic & Hrvoje Abraham Milicevic & Bojan Kanizaj, 2019. "The Effects of the Floating Action Button on Quality of Experience," Future Internet, MDPI, vol. 11(7), pages 1-10, July.
    3. Safak Dogan & Nasser Haddad & Erhan Ekmekcioglu & Ahmet M. Kondoz, 2019. "No-Reference Depth Map Quality Evaluation Model Based on Depth Map Edge Confidence Measurement in Immersive Video Applications," Future Internet, MDPI, vol. 11(10), pages 1-18, September.
    4. Thanuja Mallikarachchi & Dumidu Talagala & Hemantha Kodikara Arachchi & Chaminda Hewage & Anil Fernando, 2020. "A Decoding-Complexity and Rate-Controlled Video-Coding Algorithm for HEVC," Future Internet, MDPI, vol. 12(7), pages 1-23, July.
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    Cited by:

    1. Kunlin Liu & Ping Wang & Wenbo Zhou & Zhenyu Zhang & Yanhao Ge & Honggu Liu & Weiming Zhang & Nenghai Yu, 2021. "Face Swapping Consistency Transfer with Neural Identity Carrier," Future Internet, MDPI, vol. 13(11), pages 1-14, November.

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