TRACK: A New Method From a Re-Examination of Deep Architectures for Head Motion Prediction in 360 Videos.

We consider predicting the user's head motion in 360 videos, with 2 modalities only: the past user's positions and the video content (not knowing other users' traces). We make two main contributions. First, we re-examine existing deep-learning approaches for this problem and identify hidden flaws from a thorough root-cause analysis.