This paper proposes a simple yet effective mechanism to select proper reference frames for H.264 motion estimation. Unlike traditional video codecs, H.264 permits more than one ref...
The fully scalable motion model (SMM) is proposed for scalable video codec by taking advantage of motion information scalability. In previous work, SMM has been improved to suppor...
We propose a fast subpixel motion estimation method for motion deblurring, where conventional motion estimation algorithms used in video codings are too complex. The new algorithm...
The main goal of sequence analysis is the motion estimation of moving objects which are present in the scene. One of the most important approaches for motion estimation is based o...
Pel-recursive motion estimation is a well-established approach. However, in the presence of noise, it becomes an ill-posed problem that requires regularization. In this paper, mot...
Given an accurate 3-D shape model of a scene, the motion parameters of a moving camera can be recovered with high accuracy using model-based motion estimation techniques. Shape er...
We develop an optical flow estimation framework that focuses on motion estimation over time formulated in a Dynamic Bayesian Network. It realizes a spatiotemporal integration of ...
Volker Willert, Marc Toussaint, Julian Eggert, Edg...
Multi-reference frame motion estimation improves the accuracy of motion compensation in video coding. However, it also increases computational complexity dramatically. In this pap...
Due to the widely spread mobile devices over the years, a low cost implementation of an efficient head tracking system is becoming more useful for a wide range of applications. In...
Motion estimation and compensation are widely used in video coding. This paper presents two fast block matching algorithms for motion estimation. These algorithms use the subspace...