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

  • Authors:

  • Rodrigo Fernandes De Mello;Rudinei Goularte;Evgueni Dodonov;Laurence T. Yang;Jong Hyuk Park;Tai-Hoon Kim

  • Affiliations:

  • Institute of Mathematics and Computer Sciences, Department of Computer Science, University of São Paulo, São Carlos, Brazil;Institute of Mathematics and Computer Sciences, Department of Computer Science, University of São Paulo, São Carlos, Brazil;Institute of Mathematics and Computer Sciences, Department of Computer Science, University of São Paulo, São Carlos, Brazil;Department of Computer Science, St. Francis Xavier University, Antigonish, Canada;Kyungnam University, Masan, Korea;Hannam University, Daejeon, Korea

  • Venue:
  • Multimedia Tools and Applications
  • Year:
  • 2009

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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.