Motion Sickness Prediction in Stereoscopic Videos using 3D Convolutional Neural Networks.
Tae Min LeeJong-Chul YoonIn-Kwon LeePublished in: IEEE Trans. Vis. Comput. Graph. (2019)
Keyphrases
- convolutional neural networks
- motion features
- periodic motion
- image sequences
- motion analysis
- video sequences
- moving camera
- high definition
- recognition of human actions
- depth perception
- key frames
- motion prediction
- input video
- motion estimation
- prediction accuracy
- optical flow
- motion capture data
- successive frames
- static images
- convolutional network
- recognizing human actions
- video stabilization
- stereoscopic video
- motion model
- prediction error
- motion capture
- space time
- video frames
- dynamic scenes
- temporal domain
- dynamic textures
- motion segmentation
- motion cues
- video data
- moving objects
- visual features
- motion patterns
- human motion
- motion parameters
- spatial and temporal
- video objects
- motion parallax
- camera motion
- video content
- motion vectors
- depth cues
- temporal coherence