A novel learning-based frame pooling method for event detection

@article{Wang2017ANL,
  title={A novel learning-based frame pooling method for event detection},
  author={Lan Wang and Chenqiang Gao and Jiang Liu and Deyu Meng},
  journal={Signal Processing},
  year={2017},
  volume={140},
  pages={45-52}
}
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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