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{}^{\circ } ∘ 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...

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Bibliographic Details
Published in:IEEE transactions on pattern analysis and machine intelligence 2022-09, Vol.44 (9), p.5681-5699
Main Authors: Rondon, Miguel Fabian Romero, Sassatelli, Lucile, Aparicio-Pardo, Ramon, Precioso, Frederic
Format: Article
Language:English
Subjects:
Competition
Datasets
Feature extraction
Head movement
kinematics and dynamics
machine learning
Magnetic heads
Modeling and prediction
neural nets
Neural networks
Predictions
Root cause analysis
Taxonomy
Tracking
Trajectory
Trajectory analysis
Video
Videos
virtual reality
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