Compact CNN for indexing egocentric videos

@article{Poleg2016CompactCF,
  title={Compact CNN for indexing egocentric videos},
  author={Yair Poleg and Ariel Ephrat and Shmuel Peleg and Chetan Arora},
  journal={2016 IEEE Winter Conference on Applications of Computer Vision (WACV)},
  year={2016},
  pages={1-9}
}
While egocentric video is becoming increasingly popular, browsing it is very difficult. In this paper we present a compact 3D Convolutional Neural Network (CNN) architecture for long-term activity recognition in egocentric videos. Recognizing long-term activities enables us to temporally segment (index) long and unstructured egocentric videos. Existing methods for this task are based on hand tuned features derived from visible objects, location of hands, as well as optical flow. Given a sparse… CONTINUE READING
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