Parallelizing video transcoding using Map-Reduce-based cloud computing

@article{Lao2012ParallelizingVT,
  title={Parallelizing video transcoding using Map-Reduce-based cloud computing},
  author={Feng Lao and Xinggong Zhang and Zongming Guo},
  journal={2012 IEEE International Symposium on Circuits and Systems},
  year={2012},
  pages={2905-2908}
}
Due to the complexity of video coding, fast transcoding is still a challenge. Various parallel coding methods have been proposed. In this paper, we present a parallel transcoding system over Map/Reduce cloud computing architecture. Input video sequences are divided into segments, and mapped to multiple computers. The sub-tasks are launched in parallel with processing results concatenated to the final output sequences. For heterogeneous clips, computing capacity, and task-launching overhead, the… CONTINUE READING
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