Video Captioning With Attention-Based LSTM and Semantic Consistency

@article{Gao2017VideoCW,
  title={Video Captioning With Attention-Based LSTM and Semantic Consistency},
  author={Lianli Gao and Zhao Guo and Hanwang Zhang and Xing Xu and Heng Tao Shen},
  journal={IEEE Transactions on Multimedia},
  year={2017},
  volume={19},
  pages={2045-2055}
}
Recent progress in using long short-term memory (LSTM) for image captioning has motivated the exploration of their applications for video captioning. By taking a video as a sequence of features, an LSTM model is trained on video-sentence pairs and learns to associate a video to a sentence. However, most existing methods compress an entire video shot or frame into a static representation, without considering attention mechanism which allows for selecting salient features. Furthermore, existing… CONTINUE READING
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