ISCA Archive Interspeech 2013
ISCA Archive Interspeech 2013

Inferring actor communities from videos

Sumit Negi, Ramnath Balasubramanyan, Santanu Chaudhury

In recent years there has been a growing interest in inferring social relations amongst actors in a video using audiovisual features, co-appearance features or both. The discovered relations between actors have been used for identifying leading roles, detecting rival communities in a movie plot etc. In this paper we propose an unsupervised method which uses the video's transcript and closed caption information for discovering actor communities (group of actors or characters in a film that share a common perspective/viewpoint on an issue) from videos. The method proposed groups together actors using a topic model based approach, which jointly models actoractor interaction (two actors interact when they share the same scene) and the topics associated with their conversations/dialogs. This joint modeling approach shows encouraging results compared to existing methods.


doi: 10.21437/Interspeech.2013-592

Cite as: Negi, S., Balasubramanyan, R., Chaudhury, S. (2013) Inferring actor communities from videos. Proc. Interspeech 2013, 3751-3755, doi: 10.21437/Interspeech.2013-592

@inproceedings{negi13_interspeech,
  author={Sumit Negi and Ramnath Balasubramanyan and Santanu Chaudhury},
  title={{Inferring actor communities from videos}},
  year=2013,
  booktitle={Proc. Interspeech 2013},
  pages={3751--3755},
  doi={10.21437/Interspeech.2013-592}
}