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On modeling and evaluating multicomputer transcoding architectures for live-video streams

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Abstract

The pervasive and ubiquitous computing has motivated researches on multimedia adaptation which aims at matching the video quality to the user needs and device restrictions. This technique has a high computational cost which needs to be studied and estimated when designing architectures and applications. This paper presents an analytical model to quantify these video transcoding costs in a hardware independent way. The model was used to analyze the impact of transcoding delays in end-to-end live-video transmissions over LANs, MANs and WANs. Experiments confirm that the proposed model helps to define the best transcoding architecture for different scenarios.

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Notes

  1. DVGRAB is available under GNU/GPL license at http://kino.schirmacher.de.

  2. FFMPEG is available under GNU/GPL license at http://ffmpeg.sourceforge.net.

  3. Digital Video for Linux, Available at http://www.kinodv.org.

  4. In this way all captured videos present the same characteristics, making the evaluation fair.

  5. The experiments were executed for different resolutions (128 × 96, 160 × 120, 176 × 144, 320 × 240, 352 × 288, 640 × 480), and, afterwards, averages were computed. Those averages are presented in Table 1.

  6. The software was written in C language using the GNU CC RTP implementation.

  7. This is the RTP standard defined in RFC1889, RFC4175 and RFC3551 specifications.

  8. A quartile is any of the three values which divide a sorted data set into four equal parts, so that each part represents 1/4th of the sample [14].

  9. The Transcoding simulator can be downloaded at http://www.icmc.usp.br/~mello.

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Acknowledgements

This paper is based upon work supported by CAPES, Brazil under grant no. 032506-6 and FAPESP, Brazil. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the CAPES or FAPESP.

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Authors and Affiliations

  1. Institute of Mathematics and Computer Sciences, Department of Computer Science, University of São Paulo, São Carlos, São Paulo, Brazil

    Rodrigo Fernandes de Mello, Rudinei Goularte & Evgueni Dodonov

  2. Department of Computer Science, St. Francis Xavier University, Antigonish, Nova Scotia, Canada

    Laurence T. Yang

  3. Kyungnam University, Masan, Korea

    Jong Hyuk Park

  4. Hannam University, Daejeon, Korea

    Tai-hoon Kim

Authors
  1. Rodrigo Fernandes de Mello
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  2. Rudinei Goularte
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  3. Evgueni Dodonov
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  4. Laurence T. Yang
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  5. Jong Hyuk Park
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  6. Tai-hoon Kim
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Correspondence to Rodrigo Fernandes de Mello.

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de Mello, R.F., Goularte, R., Dodonov, E. et al. On modeling and evaluating multicomputer transcoding architectures for live-video streams. Multimed Tools Appl 43, 109–129 (2009). https://doi.org/10.1007/s11042-009-0259-y

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