Violent video detection based on MoSIFT feature and sparse coding

@article{Xu2014ViolentVD,
  title={Violent video detection based on MoSIFT feature and sparse coding},
  author={Long Xu and Chen Gong and Jie Yang and Qiang Wu and Lixiu Yao},
  journal={2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
  year={2014},
  pages={3538-3542}
}
To detect violence in a video, a common video description method is to apply local spatio-temporal description on the query video. Then, the low-level description is further summarized onto the high-level feature based on Bag-of-Words (BoW) model. However, traditional spatio-temporal descriptors are not discriminative enough. Moreover, BoW model roughly assigns each feature vector to only one visual word, therefore inevitably causing quantization error. To tackle the constrains, this paper… CONTINUE READING
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