Using Movie Posters for Prediction of Box-Office Revenue with Deep Learning Approach

ÖZKAN K., Atak O. N., IŞIK Ş.

26th IEEE Signal Processing and Communications Applications Conference (SIU), İzmir, Türkiye, 2 - 05 Mayıs 2018 identifier identifier

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Cilt numarası:
  • Doi Numarası: 10.1109/siu.2018.8404649
  • Basıldığı Şehir: İzmir
  • Basıldığı Ülke: Türkiye
  • Eskişehir Osmangazi Üniversitesi Adresli: Evet

Özet

In the last few years, interest increased in addressing the concept of deep learning methods and investigating their performance on different machine learning and image processing tasks. With a similar experience, we have concentrated on a deep learning approach to reveal its performance on box-office prediction of movies. Due to its effectiveness, the Inception-V3 model has utilized to estimate box-offices by considering the prediction problem as a classification task. Across the experimental studies, the relation between movie poster and box-office of movies have been explored and the prediction performance of system has noted with %33 accuracy rate from conducting experiments on 1307 images.