Marlin: Taming the big streaming data in large scale video similarity search

@article{Zhu2015MarlinTT,
  title={Marlin: Taming the big streaming data in large scale video similarity search},
  author={Nan Zhu and Wenbo He and Yu Hua and Yixin Chen},
  journal={2015 IEEE International Conference on Big Data (Big Data)},
  year={2015},
  pages={1755-1764}
}
The extreme volume and staggeringly increasing rate inevitably produce unprecedented pressure on any large scale video sharing and hosting systems. Among the efforts to mitigate this pressure, content-based video similarity search is becoming more and more important with the exponential growth of the data size. Though various approaches have been proposed to address this problem, they are mainly focusing on the retrieval accuracy thus bringing video features with high complexity. Due to the… CONTINUE READING

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