Efficient Quality of Multimedia Experience Using Perceptual Quality Metrics

Conference paper
Part of the Smart Innovation, Systems and Technologies book series (SIST, volume 43)


Although there are very few metrics which correlate well with the Human Visual System (HVS), most of them do not. We extensively studied about the Video Quality Assessment (VQA) of 2D svideos for enhancing the Quality of Experience (QoE) using better Quality of Service (QoS). We propose a solution which helps us to find a high correlation between HVS and the objective metrics using Perceptual Quality Metrics (PQM). The motive behind this work is to introduce an objective metric that is adequate to predict the Mean Opinion Score (MOS) of distorted video sequences based on the Full Reference (FR) method.


Quality assessment Subjective testing Objective testing Structural similarity QoE PQM 


  1. 1.
    International Telecommunication Union-Radiocommunication Sector: Methodology for the subjective assessment of the quality of television pictures, Recommendation ITU-R BT, pp. 500–513 (2012)Google Scholar
  2. 2.
    Joveluro, P.: Perceptual quality estimation techniques for 2D and 3D videos. PhD Thesis, University of Surrey, UK (2011)Google Scholar
  3. 3.
    Seshadrinathan, K., Soundararajan, R., Bovik, A.C., Cormack, L.K.: A subjective study to evaluate video quality assessment algorithms. In: SPIE Proceedings Human Vision and Electronic Imaging (2010)Google Scholar
  4. 4.
    Video Quality Experts Group (VQEG):
  5. 5.
    International Telecommunication Union-Radiocommunication Sector: Subjective video quality assessment methods for multimedia applications, Recommendation ITU-T P. 910 (1999)Google Scholar
  6. 6.
    Roque, L.: Quality evaluation of coded video. Masters Thesis, Universidade Tecnica de Lisboa, Portugal (2009)Google Scholar
  7. 7.
    LIVE, Image and Video Quality Assessment Database:
  8. 8.
    Vatolin, D., Petrov, O.: MSU Perceptual Video Quality Tool 1.0 (Software for Subjective Video Quality Evaluation). Moscow State University, Russia (2006)Google Scholar
  9. 9.
    Winkler, S.: Digital Video Quality. Wiley, Chichester (2010)Google Scholar
  10. 10.
    Wang, Z., Bovik, A., Sheikh, H., Simoncelli, E.: Image quality assessment: from error visibility to structural similarity. IEEE Trans. Image Process. 13(4), 600–612 (2004)CrossRefGoogle Scholar
  11. 11.
    Seshadrinathan, K., et al.: Study of subjective and objective quality assessment of video, IEEE Trans. Image Process. (2010)Google Scholar
  12. 12.
    Amirshahi, S.A.: Towards a perceptual metric for video quality assessment. Masters Thesis report, Gjovik University College, Norway (2010)Google Scholar
  13. 13.
    Gaurav, R.: Video quality assessment using subjective and objective metrics. Masters Thesis, ISIK University, Turkey (2013)Google Scholar

Copyright information

© Springer India 2016

Authors and Affiliations

  1. 1.Telecom SudParisARTEMIS DepartmentEvryFrance
  2. 2.Department of Electrical-Electronics EngineeringISIK UniversityIstanbulTurkey

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