Video Fill in the Blank with Merging LSTMs

@article{Mazaheri2016VideoFI,
  title={Video Fill in the Blank with Merging LSTMs},
  author={Amir Mazaheri and David Zhang and Mubarak Shah},
  journal={CoRR},
  year={2016},
  volume={abs/1610.04062}
}
Given a video and its incomplete textural description with missing words, the Video-Fill-in-the-Blank (ViFitB) task is to automatically find the missing word. The contextual information of the sentences are important to infer the missing words; the visual cues are even more crucial to get a more accurate inference. In this paper, we presents a new method which intuitively takes advantage of the structure of the sentences and employs merging LSTMs (to merge two LSTMs) to tackle the problem with… CONTINUE READING
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