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Intelligent Data Analysis and Applications pp 155–164Cite as

Procedure for Mapping Objective Video Quality Metrics to the Subjective MOS Scale for Full HD Resolution of H.265 Compression Standard

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 370))

Abstract

The article deals with the correlation between objective and subjective methods and the subsequent mapping of the selected objective metric to MOS scale. The theoretical part of the paper focuses on objective and subjective metrics applied for testing. The practical part describes the measurements and the experimental results. The results are implemented into the new model. The developed model will facilitate predicting the quality in networks based on IP.

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References

  1. Uhrina M, Hlubik J, Vaculik M (2012) Impact of compression on the video quality. In: 12th international conference on knowledge in telecommunication technologies and optics—KTTO 2012, Malenovice, Czech Republic, 14–16 Nov 2012. Advances in electrical and electronic engineering, vol 10, issue 4, pp 251–258. ISSN 1336-1376

    Google Scholar 

  2. Uhrina M, Frnda J, Sevcik L, Vaculik M (2014) Impact of H.264/AVC and H.265/HEVC compression standards on the video quality for 4 K resolution. In: 14th international conference on knowledge in telecommunication technologies and optics—KTTO 2014, Malenovice, Czech Republic, 3–5 Sept 2014. Advances in electrical and electronic engineering, vol 12, issue 4, pp 368–376. ISSN 1336-1376

    Google Scholar 

  3. Uhrina M, Sevcik L, Frnda J, Vaculik M (2014) Impact of H.265 and VP9 compression standards on the video quality for 4 K resolution. In: 22nd telecommunications forum TELFOR 2014, Belgrade, 25–27 Nov 2014

    Google Scholar 

  4. Uhrina M, Hlubik J, Vaculik M (2011) The comparison of MPEG compression standards using different subjective video quality methods. 11th international conference on knowledge in telecommunication technologies and optics—KTTO 2011, Szczyrk, Poland, pp 56–59, 22–24 June 2011. ISBN 978-80-248-2399-7

    Google Scholar 

  5. Voznak M (2011) E-model modification for case of cascade codecs arrangement. Int J Math Models Methods Appl Sci 5(8):1439–1447

    Google Scholar 

  6. Frnda J, Sevcik L, Uhrina M, Voznak M (2014) Network degradation effects on different codec types and characteristics of video streaming. J Adv Electr Electron Eng 12(4):377–383. ISSN 1336-1376

    Google Scholar 

  7. Frnda J, Voznak M, Sevcik L (2014) Network performance QoS prediction. Adv Intell Syst Comput 297:165–174. doi:10.1007/978-3-319-07776-5_18 (expecting WoS, SCOPUS, SJR = 0.135)

  8. Frnda J, Voznak M, Rozhon J, Mehic M (2013) Prediction model of QoS for triple play services. In: 21st telecommunications forum TELFOR

    Google Scholar 

  9. Uhrina M, Hlubik J, Vaculik M (2012) Correlation between objective and subjective methods used for video quality evaluation. In: 9th international conference—Elektro 2012, Rajecké Teplice, Slovak Republic, 21–22 May 2012. ISBN 978-1-4673-1180-9

    Google Scholar 

  10. Moldvan A-N, Ghergulescu I, Muntean CH (2014) Novel methodology for mapping objective video quality metrics to the subjective MOS scale. In: 2014 IEEE international symposium on broadband multimedia systems and broadcasting (BMSB), Beijing, 25–27 June 2014. INSPEC Accession number: 14515368

    Google Scholar 

  11. Wang W (2012) A video quality assessment method using subjective and objective mapping strategy. In: 2012 IEEE cloud computing and intelligent systems (CCIS), pp 514–518, 30 Oct–1 Jan 2012. ISBN: 978-1-4673-1855-6

    Google Scholar 

  12. Wooton C (2005) A practical guide to video and audio compression. Elsevier Inc., Oxford, p 787. ISBN 0-240-80630-1

    Google Scholar 

  13. Wu HR, Rao KR (2006) Digital video image quality and perceptual coding. Taylor and Francis Group LLC, Boca Raton, p 594. ISBN 0- 8247-2777-0

    Google Scholar 

  14. Loke HM, Ong PE, Lin W, Lu Z, Yao S (2006) Comparison of video quality metrics on multimedia videos. In: Image processing IEEE 2006, pp 457–460. ISSN 1522-4880

    Google Scholar 

  15. Winkler S (2005) Digital video quality: vision models and metrics. Wiley, Chichester, p 175, ISBN 0-470-02404-6

    Google Scholar 

  16. Recommendation ITU-R BT.500-13 (2013) Methodology for the subjective assessment of the quality of television pictures

    Google Scholar 

  17. http://www.irisa.fr/armor/lesmembres/Mohamed/Thesis/node2.html (2010)

  18. Recommendation ITU-T P.910 (2008) Subjective video quality assessment methods for multimedia applications, April 2008

    Google Scholar 

  19. Test Sequence. http://ultravideo.cs.tut.fi/#testsequences

  20. H.265/HEVC Encoder, ×265 tool (2013). http://www.videolan.org/developers/x265.html

  21. MSU Measurement Tool Pro version (2012). http://compression.ru/video/quality_measure/vqmt_pro_en.html#start

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Acknowledgments

The research leading to these results has received funding from the grant SGS reg. no. SP2015/82 conducted at VSB-Technical University of Ostrava, Czech Republic and by the project reg. no. ITMS 22420320001 within crossborder cooperation between the Czech and Slovak Republic.

Author information

Authors and Affiliations

  1. Department of Telecommunications and Multimedia, University of Zilina, Univerzitna 1, 01026, Zilina, Slovak Republic

    Miroslav Uhrina, Martin Vaculik & Michal Malicek

  2. Department of Telecommunications, VSB—Technical University of Ostrava, 17. Listopadu 15, 70833, Ostrava, Czech Republic

    Miroslav Voznak

Authors
  1. Miroslav Uhrina
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  2. Miroslav Voznak
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  3. Martin Vaculik
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  4. Michal Malicek
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Corresponding author

Correspondence to Miroslav Voznak .

Editor information

Editors and Affiliations

  1. Machine Intelligence Research Labs (MIR Labs), Auburn, Washington, USA

    Ajith Abraham

  2. Fujian University of Technology, Fujian, China

    Xin Hua Jiang

  3. Department of Computer Science, VSB-Technical University of Ostrava, Ostrava-Poruba, Czech Republic

    Václav Snášel

  4. Fujian University of Technology, Fujian, China

    Jeng-Shyang Pan

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Cite this paper

Uhrina, M., Voznak, M., Vaculik, M., Malicek, M. (2015). Procedure for Mapping Objective Video Quality Metrics to the Subjective MOS Scale for Full HD Resolution of H.265 Compression Standard. In: Abraham, A., Jiang, X., Snášel, V., Pan, JS. (eds) Intelligent Data Analysis and Applications. Advances in Intelligent Systems and Computing, vol 370. Springer, Cham. https://doi.org/10.1007/978-3-319-21206-7_14

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  • DOI: https://doi.org/10.1007/978-3-319-21206-7_14

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-21205-0

  • Online ISBN: 978-3-319-21206-7

  • eBook Packages: EngineeringEngineering (R0)

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