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Deep Learning Methods for Efficient Large Scale Video Labeling

Machine Learning 2017-06-15 v1 Computer Vision and Pattern Recognition Machine Learning
Authors: Miha Skalic , Marcin Pekalski , Xingguo E. Pan
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Abstract

We present a solution to "Google Cloud and YouTube-8M Video Understanding Challenge" that ranked 5th place. The proposed model is an ensemble of three model families, two frame level and one video level. The training was performed on augmented dataset, with cross validation.

Cite

@article{arxiv.1706.04572,
  title  = {Deep Learning Methods for Efficient Large Scale Video Labeling},
  author = {Miha Skalic and Marcin Pekalski and Xingguo E. Pan},
  journal= {arXiv preprint arXiv:1706.04572},
  year   = {2017}
}

Comments

7 pages, 5 tables, 1 figure

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