Optimal Mapping Function for Predictions of the Subjective Quality Evaluation Using Artificial Intelligence

  • Lukas SevcikEmail author
  • Miroslav Uhrina
  • Juraj Bienik
  • Miroslav Voznak
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 1069)


With the growth of QoE interest, IPTV providers need a method to control QoE. The paper describes the correlation between the results of objective and subjective methods in video quality assessment. The authors proposed the optimal mapping function for predictions of the subjective quality evaluation based on the objective evaluation to determine the perception of the video quality by the human brain. Our model using artificial intelligence, it is based on a neural network which can simulate and predicts the subjective quality of the scene. It also can predict subjective or objective video quality for video sequences defined by spatial, temporal information, which is the critical and key variable of a given scene, and by the qualitative parameters of the scene. The results from the model are verified by comparing predicted video quality using the proposed classifier with the required value. The two most common statistical parameters related to express performance are Pearson’s correlation coefficient and Root Mean Square Error.


Neural network Objective quality evaluation QoE Spatial information Subjective quality evaluation Temporal information Video quality assessment 



This work was supported by The Ministry of Education, Youth and Sports from the Large Infrastructures for Research, Experimental Development and Innovations project “IT4Innovations National Supercomputing Center – LM2015070” and partially received a financial support from grant No. SGS SP2019/41 conducted at VSB Technical University of Ostrava, Czech Republic.


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Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  • Lukas Sevcik
    • 1
    Email author
  • Miroslav Uhrina
    • 2
  • Juraj Bienik
    • 2
  • Miroslav Voznak
    • 1
  1. 1.IT4Innovations, VSB - Technical University of OstravaOstrava - PorubaCzech Republic
  2. 2.University of ZilinaZilinaSlovakia

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