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Multimedia QoE Modeling and Prediction

  • Xin Wei
  • Liang Zhou
Chapter
  • 137 Downloads
Part of the SpringerBriefs in Computer Science book series (BRIEFSCOMPUTER)

Abstract

In this chapter, we focus on our research of multimedia QoE modeling and prediction. Firstly, we introduce two designed multimedia user complaint prediction algorithms: GMM-based oversampling algorithm and decision tree-based cost-sensitive algorithm. Subsequently, we discuss the proposed multimedia QoE modeling and prediction algorithms which are based on artificial neural network (ANN) and long short-term memory (LSTM), respectively. Finally, we briefly describe the newly established multimedia QoE modeling and prediction based on broad learning system (BLS).

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Copyright information

© The Author(s), under exclusive license to Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Xin Wei
    • 1
  • Liang Zhou
    • 1
  1. 1.Nanjing University of Posts and TelecommunicationsNanjingChina

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