Naming TV characters by watching and analyzing dialogs

  title={Naming TV characters by watching and analyzing dialogs},
  author={Monica-Laura Haurilet and Makarand Tapaswi and Ziad Al-Halah and Rainer Stiefelhagen},
  journal={2016 IEEE Winter Conference on Applications of Computer Vision (WACV)},
Person identification in TV series has been a popular research topic over the last decade. In this area, most approaches either use manually annotated data or extract character supervision from a combination of subtitles and transcripts. However, both approaches have key drawbacks that hinder application of these methods at a large scale - manual annotation is expensive and transcripts are often hard to obtain. We investigate the topic of automatically labeling all character appearances in TV… CONTINUE READING

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Key Quantitative Results

  • The best combination achieves an average precision over 80% on three diverse TV series.


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