Results 31 to 40 of about 4,469,643 (384)
MEMC-Net: Motion Estimation and Motion Compensation Driven Neural Network for Video Interpolation and Enhancement [PDF]
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2018 Motion estimation (ME) and motion compensation (MC) have been widely used for classical video frame interpolation systems over the past decades. Recently, a number of data-driven frame interpolation methods based on convolutional neural networks have ...
Wenbo Bao +4 more
semanticscholar +1 more source
Milli-RIO: Ego-Motion Estimation With Low-Cost Millimetre-Wave Radar
IEEE Sensors Journal, 2020 Robust indoor ego-motion estimation has attracted significant interest in the last decades due to the fast-growing demand for location-based services in indoor environments.
Yasin Almalioglu +4 more
semanticscholar +1 more source
Physics in Medicine and Biology, 2020 To enable magnetic resonance imaging (MRI)-guided radiotherapy with real-time adaptation, motion must be quickly estimated with low latency. The motion estimate is used to adapt the radiation beam to the current anatomy, yielding a more conformal dose ...
Maarten Terpstra +7 more
semanticscholar +1 more source
Reliable camera motion estimation from compressed MPEG videos using machine learning approach [PDF]
, 2013 As an important feature in characterizing video content, camera motion has been widely applied in various multimedia and computer vision applications. A novel method for fast and reliable estimation of camera motion from MPEG videos is proposed, using ...
Jiang, Jianmin +4 more
core +1 more source
Enhancement of Motion Estimation Robustness Against Noise and Brightness Variations in Digital Image Sequences [PDF]
Journal of Intelligent Procedures in Electrical Technology, 2010 Motion estimation and compensation are main stages in hybrid video coding standards. Due to structural simplicity the block-matching motion estimation is the most used method in digital video technology.
Homayoun Mahdavi-Nasab
doaj
Decomposition of Optical Flow on the Sphere [PDF]
, 2014 We propose a number of variational regularisation methods for the estimation and decomposition of motion fields on the $2$-sphere. While motion estimation is based on the optical flow equation, the presented decomposition models are motivated by recent ...
Kirisits, Clemens +2 more
core +1 more source
Scientific Reports, 2020 Accurate cardiac motion estimation from medical images such as ultrasound is important for clinical evaluation. We present a novel regularisation layer for cardiac motion estimation that will be applied after image registration and demonstrate its ...
Hadi Wiputra +4 more
doaj +1 more source
VIBE: Video Inference for Human Body Pose and Shape Estimation
, 2020 Human motion is fundamental to understanding behavior. Despite progress on single-image 3D pose and shape estimation, existing video-based state-of-the-art methods fail to produce accurate and natural motion sequences due to a lack of ground-truth 3D ...
Athanasiou, Nikos +2 more
core +1 more source
Human motion correction and representation method from motion camera
The Journal of Engineering, 2017 Motion estimation is a basic issue for many computer vision tasks, such as human–computer interaction, motion objection detection and intelligent robot. In many practical scenes, the object movement goes with camera motion.
Hong-Bo Zhang +4 more
doaj +1 more source
Backward adaptive pixel-based fast predictive motion estimation [PDF]
, 2009 This letter presents a novel backward adaptive pixel-based fast predictive motion estimation (BAPME) scheme for lossless video compression. Unlike the widely used block-matching motion estimation techniques, this method predicts the motion on a pixel-by ...
Canagarajah, CN +2 more
core +2 more sources