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Image Recognition Techniques Applied to Automated and Objective QoE Assessment of Mobile WWW Services

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Computer Vision and Graphics (ICCVG 2010)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 6374))

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Abstract

In this paper the innovative methodology based on image/video processing techniques for objective measurements of QoE (Quality of Experience) dedicated for mobile terminals is presented. The proposed methodology has been used to evaluate WWW services offered by mobile operators in Poland. The clear advantages of applying image processing techniques to such a task are objectiveness of the methodology and independence of the underlying network infrastructure.

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References

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Author information

Authors and Affiliations

  1. Institute of Telecommunications, UT&LS Bydgoszcz,  

    Michał Choraś, Adam Flizikowski & Rafał Kozik

  2. Mickiewicz University, Poznań

    Witold Hołubowicz

  3. ITTI Ltd., ul. Rubież 46, 61-612, Poznań, Poland

    Witold Hołubowicz

Authors
  1. Michał Choraś
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  2. Adam Flizikowski
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  3. Rafał Kozik
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  4. Witold Hołubowicz
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Editor information

Editors and Affiliations

  1. Polish-Japanese Institute of Information Technology, 86 Koszykowa St, 02-008, Warsaw, Poland

    Leonard Bolc

  2. Institute of Automatics, AGH University of Science and Technology, Al. Mickiewicza 30, 30-059, Kraków, Poland

    Ryszard Tadeusiewicz

  3. Faculty of Applied Informatics and Mathematics, Department of Informatics, Warsaw University of Life Sciences, Nowoursynowska 159, 02-776, Warsaw, Poland

    Leszek J. Chmielewski

  4. Polish-Japanese Institute of Information Technology, 86 Koszykowa St, 02-008 Warsaw, konradw@pjwstk.edu.pl, The Silesian University of Technology, Institute of Computer Science, Akademicka 16, 44-100 Gliwice, Polan

    Konrad Wojciechowski

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© 2010 Springer-Verlag Berlin Heidelberg

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Choraś, M., Flizikowski, A., Kozik, R., Hołubowicz, W. (2010). Image Recognition Techniques Applied to Automated and Objective QoE Assessment of Mobile WWW Services. In: Bolc, L., Tadeusiewicz, R., Chmielewski, L.J., Wojciechowski, K. (eds) Computer Vision and Graphics. ICCVG 2010. Lecture Notes in Computer Science, vol 6374. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15910-7_31

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  • DOI: https://doi.org/10.1007/978-3-642-15910-7_31

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-15909-1

  • Online ISBN: 978-3-642-15910-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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