Skip to main content

Advertisement

SpringerLink
Log in
Menu
Find a journal Publish with us
Search
Cart
Book cover

International Conference on Research in Networking

NETWORKING 2012: NETWORKING 2012 pp 1–14Cite as

  1. Home
  2. NETWORKING 2012
  3. Conference paper
Quality Adaptation in P2P Video Streaming Based on Objective QoE Metrics

Quality Adaptation in P2P Video Streaming Based on Objective QoE Metrics

  • Julius Rückert20,
  • Osama Abboud21,
  • Thomas Zinner22,
  • Ralf Steinmetz21 &
  • …
  • David Hausheer20 
  • Conference paper
  • 1108 Accesses

  • 6 Citations

Part of the Lecture Notes in Computer Science book series (LNCCN,volume 7290)

Abstract

The transmission of video data is a major part of traffic on today’s Internet. Since the Internet is a highly dynamic environment, quality adaptation is essential in matching user device resources with the streamed video quality. This can be achieved by applying mechanisms that follow the Scalable Video Coding (SVC) standard, which enables scalability of the video quality in multiple dimensions. In SVC-based streaming, adaptation decisions have long been driven by Quality of Service (QoS) metrics, such as throughput. However, these metrics do not well match the way human users perceive video quality. Therefore, in this paper, the classical SVC-based video streaming approach is expanded to consider Quality of Experience (QoE) for adaptation decisions. The video quality is assessed using existing objective techniques with a high correlation to the human perception. The approach is evaluated in context of a P2P-based Video-on-Demand (VoD) system and shows that by making peers favor always layers with a high estimated QoE but not necessarily high bandwidth requirements, the performance of the entire system can be enhanced in terms of playback delay and SVC video quality by up to 20%. At the same time, content providers are able to reduce up to 60 of their server costs, compared to the classical QoS-based approach.

Keywords

  • Peer-to-Peer Video Streaming
  • Quality Adaptation
  • Quality of Experience
  • Scalable Video Coding

Download conference paper PDF

References

  1. Abboud, O., Rückert, J., Hausheer, D.: QoE-aware Quality Adaptation in Peer-to-Peer Video-on-Demand. Tech. Rep. PS-TR-2012-01, Peer-to-Peer Systems Engineering, TU Darmstadt (2012)

    Google Scholar 

  2. Abboud, O., Zinner, T., Pussep, K., Steinmetz, R.: On the Impact of Quality Adaptation in SVC-based P2P Video-on-Demand Systems. In: ACM MMSys (2011)

    Google Scholar 

  3. Baccichet, P., Schierl, T., Wiegand, T., Girod, B.: Low-delay Peer-to-Peer Streaming using Scalable Video Coding. In: IEEE PV Workshop (2007)

    Google Scholar 

  4. Cisco Systems Inc.: Cisco VNI: Forecast and Methodology, 2010-2015 (2011), http://www.cisco.com/en/US/solutions/collateral/ns341/ns525/ns537/ns705/ns827/white_paper_c11-481360.pdf (accessed November 12, 2011)

  5. Cormen, T.H., Leiserson, C.E., Rivest, R.L., Stein, C. (eds.): Introduction to Algorithms, 2nd edn. The MIT Press (2001)

    Google Scholar 

  6. Cui, Y., Nahrstedt, K.: Layered Peer-to-Peer Streaming. In: ACM NOSSDAV (2003)

    Google Scholar 

  7. Video Quality Experts Group: Final Report on the Validation of Objective Models of Video Quality Assessment, FR-TV Phase II (2003), http://www.its.bldrdoc.gov/vqeg/project-pages/frtv-phase-ii/frtv-phase-ii.aspx (accessed November 12, 2011)

  8. Gustafsson, J., Heikkila, G., Pettersson, M.: Measuring Multimedia Quality in Mobile Networks with an Objective Parametric Model. In: IEEE ICIP (2008)

    Google Scholar 

  9. Kaune, S., Tyson, G., Pussep, K., Mauthe, A., Steinmetz, R.: The Seeder Promotion Problem: Measurements, Analysis and Solution Space. In: IEEE ICCCN (2010)

    Google Scholar 

  10. Kim, C.S., Sohn, H., Neve, W.D., Ro, Y.M.: An Objective Perceptual Quality-Based ADTE for Adapting Mobile SVC Video Content. IEICE Trans. on Information & Systems E92-D(1), 93–96 (2009)

    CrossRef  Google Scholar 

  11. Lee, J., Simone, F.D., Ebrahimi, T.: Subjective Quality Evaluation via Paired Comparison: Application to Scalable Video Coding. IEEE Trans. on Multimedia 13(5), 882–893 (2011)

    CrossRef  Google Scholar 

  12. Lee, T.C., Liu, P.C., Shyu, W.L., Wu, C.Y.: Live Video Streaming Using P2P and SVC. In: IFIP/IEEE MMNS (2008)

    Google Scholar 

  13. Menkovski, V., Exarchakos, G., Liotta, A.: Machine Learning Approach for Quality of Experience Aware Networks. In: IEEE INCoS (2010)

    Google Scholar 

  14. Mokhtarian, K., Hefeeda, M.: Analysis of peer-assisted Video-on-Demand Systems with Scalable Video Streams. In: ACM MMSys (2010)

    Google Scholar 

  15. Mu, M.: An Interview with Video Quality Experts. ACM SIGMultimedia Records 1(4), 4–13 (2009)

    CrossRef  Google Scholar 

  16. Mushtaq, M., Ahmed, T.: Smooth Video Delivery for SVC based Media Streaming over P2P Networks. In: IEEE CCNC (2008)

    Google Scholar 

  17. Ni, P., Eg, R., Eichhorn, A., Griwodz, C., Halvorsen, P.: Flicker Effects in Adaptive Video Streaming to Handheld Devices. ACM Multimedia (2011)

    Google Scholar 

  18. Pinson, M., Wolf, S.: A New Standardized Method for Objectively Measuring Video Quality. IEEE Trans. on Broadcasting 50(3), 312–322 (2004)

    CrossRef  Google Scholar 

  19. Sandvine Inc.: Fall 2011 Internet Phenomena Report (2011), http://www.sandvine.com/downloads/documents/10-26-2011_phenomena/Sandvine%20Global%20Internet%20Phenomena%20Report%20-%20Fall%202011.pdf (accessed November 12, 2011)

  20. Schwarz, H., Marpe, D., Wiegand, T.: Overview of the Scalable Video Coding Extension of the H.264/AVC Standard. IEEE TCSVT 17(9), 1103–1120 (2007)

    Google Scholar 

  21. Stingl, D., Groß, C., Rückert, J., Nobach, L., Kovacevic, A., Steinmetz, R.: PeerfactSim.KOM: A Simulation Framework for Peer-to-Peer Systems. In: ACM/IEEE/IFIP HPCS (2011)

    Google Scholar 

  22. Winkler, S.: Digital Video Quality: Vision Models and Metrics, 1st edn. Wiley (2005)

    Google Scholar 

  23. Wolf, S., Pinson, M.: Application of the NTIA General Video Quality Metric (VQM) to HDTV Quality Monitoring. In: VPQM (2007)

    Google Scholar 

  24. Zhai, G., Cai, J., Lin, W., Yang, X., Zhang, W.: Three Dimensional Scalable Video Adaptation via User-End Perceptual Quality Assessment. IEEE Trans. on Broadcasting 54(3), 719–727 (2008)

    CrossRef  Google Scholar 

  25. Zink, M., Künzel, O., Schmitt, J., Steinmetz, R.: Subjective Impression of Variations in Layer Encoded Videos. In: IEEE IWQoS (2003)

    Google Scholar 

  26. Zinner, T., Hohlfeld, O., Abboud, O., Hoßfeld, T.: Impact of Frame Rate and Resolution on Objective QoE Metrics. In: IEEE QoMEX Workshop (2010)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. P2P Systems Engineering, TU Darmstadt, Germany

    Julius Rückert & David Hausheer

  2. Multimedia Communications Lab, TU Darmstadt, Germany

    Osama Abboud & Ralf Steinmetz

  3. Communication Networks, University of Wuerzburg, Germany

    Thomas Zinner

Authors
  1. Julius Rückert
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Osama Abboud
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Thomas Zinner
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Ralf Steinmetz
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. David Hausheer
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. Department of Telecommunications Engineering, Czech Technical University in Prague, Technicka 2, 166 27, Prague 6, Czech Republic

    Robert Bestak & Lukas Kencl & 

  2. Bell Labs, Alcatel-Lucent, 600 Mountain Avenue, 07974-0636, Murray Hill, NJ, USA

    Li Erran Li

  3. Instituto IMDEA Networks, Avenida del Mar Mediterraneo 22, 28918, Leganes (Madrid), Spain

    Joerg Widmer

  4. Tsinghua-ChinaCache Joint Laboratory, Tsinghua University, FIT 3-429, Haidian District, 100016, Beijing, China

    Hao Yin

Rights and permissions

Reprints and Permissions

Copyright information

© 2012 IFIP International Federation for Information Processing

About this paper

Cite this paper

Rückert, J., Abboud, O., Zinner, T., Steinmetz, R., Hausheer, D. (2012). Quality Adaptation in P2P Video Streaming Based on Objective QoE Metrics. In: Bestak, R., Kencl, L., Li, L.E., Widmer, J., Yin, H. (eds) NETWORKING 2012. NETWORKING 2012. Lecture Notes in Computer Science, vol 7290. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-30054-7_1

Download citation

  • .RIS
  • .ENW
  • .BIB
  • DOI: https://doi.org/10.1007/978-3-642-30054-7_1

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-30053-0

  • Online ISBN: 978-3-642-30054-7

  • eBook Packages: Computer ScienceComputer Science (R0)

Share this paper

Anyone you share the following link with will be able to read this content:

Sorry, a shareable link is not currently available for this article.

Provided by the Springer Nature SharedIt content-sharing initiative

Search

Navigation

  • Find a journal
  • Publish with us

Discover content

  • Journals A-Z
  • Books A-Z

Publish with us

  • Publish your research
  • Open access publishing

Products and services

  • Our products
  • Librarians
  • Societies
  • Partners and advertisers

Our imprints

  • Springer
  • Nature Portfolio
  • BMC
  • Palgrave Macmillan
  • Apress
  • Your US state privacy rights
  • Accessibility statement
  • Terms and conditions
  • Privacy policy
  • Help and support

167.114.118.210

Not affiliated

Springer Nature

© 2023 Springer Nature