In computer vision and image processing, motion estimation is the process of determining motion vectors that describe the transformation from one 2D image...

(especially by a blitter chip), and parallax scrolling effects. Some motion estimation algorithms can be performed using bit planes (e.g. after the application...

digital video frames for the purposes of motion estimation. The underlying supposition behind motion estimation is that the patterns corresponding to objects...

membrane protein complex Motion estimation/motion compensation; see Video super resolution § Aligned by motion estimation and motion compensation Mount Elizabeth...

reformulated optical flow estimation as a robust M-estimation problem. The main observation was that spatial discontinuities in image motion and violations of...

recognition, video tracking, object recognition, 3D pose estimation, learning, indexing, motion estimation, visual servoing, 3D scene modeling, and image restoration...

vectors for potential tracking errors and remove outliers. Estimation of the camera motion from the optical flow. Choice 1: Kalman filter for state estimate...

(or luma sample positions) as the motion vector precision for motion estimation and motion compensation in video compression schemes.[citation needed] It...

in motion estimation, and in particular regarding the use of quarter pixel-precision motion estimation. Adding the extra precision to the motion of a...

steps: motion estimation, motion compensation and fusion. The motion compensation transformer (MCT) is used for motion estimation. The sub-pixel motion compensation...

complexity without motion compensated coding; as a matter of fact that motion compensated coding (together with motion estimation, motion compensation) occupies...

flow estimation have been presented in subsequent work by Scharr. Second order derivative filter sets have been investigated for transparent motion estimation...

motion-compensated DCT hybrid video coding structure. It uses macroblocks of size 16×16 with block-based motion estimation in the encoder and motion compensation...

I-macroblocks Multi‑frame motion estimation (up to 16 reference frames or 32 reference fields) Multi‑frame motion estimation increases the quality of the...

S2CID 2931825. V.M. Govindu (2001). "Combining two-view constraints for motion estimation". Proceedings of the 2001 IEEE Computer Society Conference on Computer...

the remaining fields), but any motion after this process will look very uneven. Sophisticated computer motion estimation and field blending is usually...

recognition, the generation of disparity maps for stereo images, and motion estimation for video compression. This example uses the sum of absolute differences...

method corrects motion-related artifacts by acquiring a joint estimation of the desired motion-free image and the associated motion trajectory by minimizing...

flow field is superficially similar to a dense motion field derived from the techniques of motion estimation, optical flow is the study of not only the determination...

filter to horizontal and vertical directions. Multiple references to motion estimation allows finding the best reference in 2 possible buffers (List 0 to...

when translating an English technical document to Swedish, the term "Motion estimation search range settings" can be directly translated to...

set. A slightly revised version of the process, with an improved motion-estimation engine, was first used on the BBC's 2005 DVD release of Quatermass...

corresponding orientation frames. This has resulted in single surface point motion estimation and segmentation algorithms in computer vision. Earth radius#Principal...

for optical motion capture systems. Robotics researchers often use motion capture systems when developing and evaluating control, estimation, and perception...

(2003-04-01). "Earthquake ground motion estimation using strong-motion records: a review of equations for the estimation of peak ground acceleration and...

differences (SATD) is a block matching criterion widely used in fractional motion estimation for video compression. It works by taking a frequency transform, usually...

methods shows, lossy video compression algorithms involve the steps: motion estimation (ME), discrete cosine transform (DCT), and entropy encoding (EC)....

encoding methods. It is used to optimize residual DCT coefficients after motion estimation in lossy video compression encoders such as Xvid and x264. Trellis...

applications in autonomous driving, motion estimation and 3D reconstruction, object detection and pose estimation, robotic manipulation, simultaneous...

Preemptive RANSAC that allows real time robust estimation of the structure of a scene and of the motion of the camera. The core idea of the approach consists...