In order to enhance the accuracy of the motion vector (MV) estimation and also reduce the error propagation issue during the estimation, in this paper, a new adaptive error concealment (EC) approach is proposed based on the information extracted from the video scene. In this regard, the motion information of the video scene around the degraded MB is first analyzed to estimate the motion type of...

This paper discusses the motion estimation problem of a rigid-body using a zoom camera via observations of a single feature point. Both the rotational and translational parameters are assumed to be unknown constants. Estimation of the unknown parameters is obtained in two steps. In the first step, the camera’s focal length is fixed and the rotational parameters can be estimated. In the second s...

Incremental motion estimation methods involve a problem that estimation accuracy gradually becomes worse as the motion trajectory becomes longer and longer. This is due to accumulation of estimation errors incurred in each estimation step. To keep estimation accuracy stable even for a long trajectory, we propose to locally apply the bundle adjustment to each estimated motion so that the modifie...

Block matching motion estimation is the essence of video coding systems. Therefore, development of an efficient method for fast motion estimation is the basic requirement of the video encoder design. Block based motion estimation algorithms are used to reduce the memory requirements of any video file and also decrease computational complexity. We have been presented here some block matching alg...

motion estimation is demanding field among researchers. The most general and challenging version of motion estimation is to compute an independent estimate of motion at each pixel, which is generally known as optical or optic flow. In our paper we have provided overview of some basic concepts behind optical flow and motion estimation. The paper is intended as starting point for beginners. Some ...

Motion estimation is demanding field among researchers to compute independent estimation of motion at each pixel in most of general. Motion estimation generally known as optical or optic flow. In this paper, overview of some basic concepts of motion estimation, optical flow and Lucas kanade method has been provided by us. Lucas kanade method is one of the methods for optical flow measurement. I...

In this paper, we propose a novel motion estimation framework based on the sparsity associated with gradients of the parametrized motion field. Beginning with Shen and Wu’s sparse model for optic flow estimation [15], we show the sparsity of the motion field can be enhanced by increasing the degree of freedom of the parametrized motion model. With such an enhancement, we formulate the motion es...

This paper presents a new method for frame rate up-conversion using sub-sampled bilateral motion estimation, motion vector smoothing, simplified bidirectional motion compensated interpolation, and complex motion detection. The proposed method produces improved image quality and requires less computational complexity compared to conventional motion estimation. The average PSNRs of the proposed m...

Motion estimation and compensation is a key component in video processing. Motion estimation is necessary for high quality video compression. It is also a key component in archive video restoration and motion picture post-production. Very accurate motion vectors are usually required in the latter two applications. More accurate motion vectors can also lead to greater coding efficiency. Real-tim...

Multi−frame motion estimation is a new specificity of the video coding standard H.264/MPEG−4 Advanced Video Coding (AVC) to improve compression performances. These reference frames can be short or long−term. However, a long−term motion estimation needs to have a good initial search point to be effective. In this paper, we propose a new method for a fast long−term motion estimation with high def...