• Corpus ID: 49664782

Competitive Analysis System for Theatrical Movie Releases Based on Movie Trailer Deep Video Representation

@article{Campo2018CompetitiveAS,
  title={Competitive Analysis System for Theatrical Movie Releases Based on Movie Trailer Deep Video Representation},
  author={Miguel Campo and Cheng-Kang Hsieh and Matt Nickens and J. J. Espinoza and Abhinav Taliyan and Julie Rieger and Jean Ho and Bettina Sherick},
  journal={ArXiv},
  year={2018},
  volume={abs/1807.04465}
}
Audience discovery is an important activity at major movie studios. Deep models that use convolutional networks to extract frame-by-frame features of a movie trailer and represent it in a form that is suitable for prediction are now possible thanks to the availability of pre-built feature extractors trained on large image datasets. Using these pre-built feature extractors, we are able to process hundreds of publicly available movie trailers, extract frame-by-frame low level features (e.g., a… 

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