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IFIP/IEEE International Conference on Management of Multimedia Networks and Services

MMNS 2007: Real-Time Mobile Multimedia Services pp 14–25Cite as

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Measuring Interaction QoE in Internet Videoconferencing

Measuring Interaction QoE in Internet Videoconferencing

  • Prasad Calyam4,
  • Mark Haffner4,
  • Eylem Ekici4 &
  • …
  • Chang-Gun Lee5 
  • Conference paper
  • 712 Accesses

  • 10 Citations

Part of the Lecture Notes in Computer Science book series (LNCCN,volume 4787)

Abstract

Internet videoconferencing has emerged as a viable medium for communication and entertainment. However, its widespread use is being challenged. This is because videoconference end-users frequently experience perceptual quality impairments such as video frame freezing and voice dropouts due to changes in network conditions on the Internet. These impairments cause extra end-user interaction effort and correspondingly lead to unwanted network bandwidth consumption that affects user Quality of Experience (QoE) and Internet congestion. Hence, it is important to measure and subsequently minimize the extra end-user interaction effort in a videoconferencing system. In this paper, we describe a novel active measurement scheme that considers end-user interaction effort and the corresponding network bandwidth consumption to provide videoconferencing interaction QoE measurements. The scheme involves a “Multi-Activity Packet-Trains” (MAPTs) methodology to dynamically emulate a videoconference session’s participant interaction patterns and corresponding video activity levels that are affected by transient changes in network conditions. Also, we describe the implementation and validation of the Vperf tool we have developed to measure the videoconferencing interaction QoE on a network path using our proposed scheme.

Keywords

  • Video Sequence
  • Mean Opinion Score
  • Video Codec
  • Network Path
  • Network Factor

These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

This work has been supported in part by The Ohio Board of Regents.

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Author information

Authors and Affiliations

  1. The Ohio State University, Columbus, OH 43210, USA

    Prasad Calyam, Mark Haffner & Eylem Ekici

  2. Seoul National University, 151-742, Korea

    Chang-Gun Lee

Authors
  1. Prasad Calyam
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  2. Mark Haffner
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  3. Eylem Ekici
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  4. Chang-Gun Lee
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Editor information

Editors and Affiliations

  1. QUALCOMM Inc., Advanced Technology R&D 5665 Morehouse Drive, L-603U, CA 92121, San Diego, USA

    Dilip Krishnaswamy

  2. Telecommunications Software and Systems Group, Waterford Institute of Technology, Carriganore, Waterford, Ireland

    Tom Pfeifer

  3. Department of Computer Science, The Technion, 32000, Haifa, Israel

    Danny Raz

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© 2007 IFIP International Federation for Information Processing

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Cite this paper

Calyam, P., Haffner, M., Ekici, E., Lee, CG. (2007). Measuring Interaction QoE in Internet Videoconferencing. In: Krishnaswamy, D., Pfeifer, T., Raz, D. (eds) Real-Time Mobile Multimedia Services. MMNS 2007. Lecture Notes in Computer Science, vol 4787. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-75869-3_2

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  • DOI: https://doi.org/10.1007/978-3-540-75869-3_2

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-75868-6

  • Online ISBN: 978-3-540-75869-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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