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Estimating Audience Engagement for Prediction: A Survey

While watching movies, an audience may express both nice and vulgar gestures (emotion) like; smiles, head-pose change, fidgeting, stretching which convey sentiment in form of engaged or disengaged during feature-length movies. Observing these behaviours using computer vision systems is a very challenging task— especially in a movie theatre environment. The movie theatre environment is dark and contains views of an audience at different scales and viewpoints. Finally, annotating audience sentiment at the frame-level is probably time-consuming task. To bypass these issues, this survey paper represents the various techniques used in facial expression detection from crowd-sourced for ratings and demonstrates its sentiment predictive capability. Keywords—Audience, Behaviour, Engagement, Movie, Facial Expression Detection, HCI.