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Bit Rate Reduction Video Transcoding with Distributed Computing

Fareed Ahmed Jokhio, Tewodros Deneke, Sébastien Lafond, Johan Lilius, Bit Rate Reduction Video Transcoding with Distributed Computing. In: Stotzka Rainer, Schiffers Michael, Cotronis Yiannis (Eds.), Proceedings of the 20th Euromicro International Conference on Parallel, Distributed and Network-Based Computing, 206–212, IEEE Computer society, 2012.

http://dx.doi.org/10.1109/PDP.2012.59

Abstract:

This paper presents an approach to perform bit rate reduction transcoding by video segmentation. The paper shows how a high performance distributed video transcoder can be built using multiple processing units and a Message Passing Interface based parallel programming model. The computation parallelization and data distribution among computing units is discussed. For data distribution coarse grain approach is used in which significant gain in terms of execution speedup is obtained. The segmentation of video stream with (1) equal size having unequal number of intra frames and (2) unequal size having equal number of intra frames is performed to achieve high performance. The results show that the proposed distributed video transcoder provides very short startup times.

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BibTeX entry:

@INPROCEEDINGS{iJoDeLaJo12a,
  title = {Bit Rate Reduction Video Transcoding with Distributed Computing},
  booktitle = {Proceedings of the 20th Euromicro International Conference on Parallel, Distributed and Network-Based Computing},
  author = {Jokhio, Fareed Ahmed and Deneke, Tewodros and Lafond, Sébastien and Lilius, Johan},
  editor = {Rainer, Stotzka and Michael, Schiffers and Yiannis, Cotronis},
  publisher = {IEEE Computer society},
  pages = {206–212},
  year = {2012},
  keywords = {video Transcoding, Message Passing Interface(MPI), Distributed computing },
}

Belongs to TUCS Research Unit(s): Embedded Systems Laboratory (ESLAB)

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