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Motion Estimation

Motion Estimation is used to determine the block-wise or pixel-wise motion vectors between two frames.

Source: MEMC-Net: Motion Estimation and Motion Compensation Driven Neural Network for Video Interpolation and Enhancement

Papers

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Showing 531–540 of 741 papers

TitleStatusHype
Unsupervised Learning of Camera Pose with Compositional Re-estimation—0
Unsupervised Learning of Depth and Deep Representation for Visual Odometry from Monocular Videos in a Metric Space—0
Unsupervised Learning of Edges—0
Unsupervised Monocular Depth and Ego-motion Learning with Structure and Semantics—0
USegScene: Unsupervised Learning of Depth, Optical Flow and Ego-Motion with Semantic Guidance and Coupled Networks—0
Using modern motion estimation algorithms in existing video codecs—0
V^2-SfMLearner: Learning Monocular Depth and Ego-motion for Multimodal Wireless Capsule Endoscopy—0
Variational Message Passing-Based Respiratory Motion Estimation and Detection Using Radar Signals—0
Vibration-Based Damage Detection in Wind Turbine Blades using Phase-Based Motion Estimation and Motion Magnification—0
Video Face Super-Resolution with Motion-Adaptive Feedback Cell—0
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