Stream Processing of Scientific Big Data on Heterogeneous Platforms -- Image Analytics on Big Data in Motion

@article{Najmabadi2013StreamPO,
  title={Stream Processing of Scientific Big Data on Heterogeneous Platforms -- Image Analytics on Big Data in Motion},
  author={Seyyed Mahdi Najmabadi and Michael Klaiber and Zhe Wang and Yousef Baroud and Sven Simon},
  journal={2013 IEEE 16th International Conference on Computational Science and Engineering},
  year={2013},
  pages={965-970}
}
High performance image analytics is an important challenge for big data processing as image and video data is a huge portion of big data e.g. generated by a tremendous amount of image sensors worldwide. This paper presents a case study for image analytics namely the parallel connected component labeling (CCL) which is one of the first steps of image analytics in general. It is shown that a high performance CCL implementation can be obtained on a heterogeneous platform if parts of the algorithm… CONTINUE READING

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