A Learning-based Frame Pooling Model For Event Detection

@article{Liu2016ALF,
  title={A Learning-based Frame Pooling Model For Event Detection},
  author={Jiang Liu and Chenqiang Gao and Lan Wang and Deyu Meng},
  journal={ArXiv},
  year={2016},
  volume={abs/1603.02078}
}
Detecting complex events in a large video collection crawled from video websites is a challenging task. When applying directly good image-based feature representation, e.g., HOG, SIFT, to videos, we have to face the problem of how to pool multiple frame feature representations into one feature representation. In this paper, we propose a novel learning-based frame pooling method. We formulate the pooling weight learning as an optimization problem and thus our method can automatically learn the… CONTINUE READING

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