Automated character identification in movies and TV series has been typically carried out through face detection in video and the association of faces with characters’ names extracted from dialogues or cast lists. We propose a deep learning architecture to identify characters based on subtitles only, precisely through the lexicon those characters employ. The identification task is formalized as a multi-class classification task. We apply our technique to the complete set of episodes in the Gomorrah TV series and achieve an average identification accuracy beyond 94 per cent on the full set of characters.

中文翻译：

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基于深度学习的电视剧词汇字符识别

电影和电视剧中的自动角色识别通常是通过视频中的人脸检测以及将人脸与从对话或演员列表中提取的角色姓名相关联来进行的。我们提出了一种深度学习架构，仅根据字幕识别字符，准确地通过这些字符使用的词典。识别任务被形式化为多类分类任务。我们将我们的技术应用到电视剧《蛾摩拉》的全套剧集中，对全套角色的平均识别准确率达到了 94% 以上。