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Motion estimation using one-bit transform and two-bit transform reduces the complexity for computation of matching error; however, the peak signal-to-noise ratio (PSNR) is degraded. Modified 1BT (M1BT) and modified 2BT (M2BT) have been proposed in [5,6] to compensate degraded PSNR by adding conditional local search. However, these algorithms require many additional search points in fast moving sequences...
We propose a method of filtering depth maps provided by Kinect depth camera. Filter uses output of the conventional Kinect camera along with the depth sensor to improve the temporal stability of the depth map and fill occlusion areas. To filter input depth map, the algorithm uses the information about motion and color of objects from the video. The proposed method can be applied as a preprocessing...
Particle filter has the advantage of processing nonlinear and non-Gaussian problems in complex motion estimation. This paper describes a new image recovery algorithm based on PSO (particle swarm optimization) Particle Filter. The PSO is introduced into particle filter to improve convergence speed and the capacity of particles moving to high likelihood area, thus high estimation accuracy of particles...
In this work, a novel occlusion detection algorithm using online learning is proposed for video applications. Each frame of a video is considered as a time-step for which pixels are classified as being either occluded or non-occluded. The Hedge algorithm is employed to determine weights for a set of experts, each of which is tuned to detect a specific type of occlusion boundary. In contrast to previous...
This paper presents a Sub-block Combination Fractional Motion Estimation (SCFME) algorithm and its architecture for an H.264/AVC video encoder. Unlike typical FME algorithms, SCFME can eliminate the overlapped pixel interpolation, and thus, it can reduce the computational complexity. Compared with the JM reference software, the proposed algorithm can reduce up to 69.75% of the number of pixels for...
To exploit both spatial and temporal correlation of video signal, a Second Order Prediction (SOP) scheme has been presented to eliminate the spatial correlation existing in motion compensated residue. Although SOP achieves better RD performance by adopting residue prediction in Mode Decision (MD) stage, it can be further improved by combining residue prediction into Motion Estimation (ME). Our analysis...
Global motion estimation is an important task for various video processing techniques. The estimation itself has to be robust in presence of arbitrarily moving foreground objects. For that task, two different kinds of estimation methods exist. On the one hand, pixel-based approaches deliver more precise results and work more robust on video sequences with foreground objects. On the other hand, when...
Multiview video coding (MVC) improves the coding efficiency by motion estimation (ME) and disparity estimation (DE). ME and DE at encoder side involve in heavy computation, which needs to be further reduced for practical applications. This paper presents fast disparity estimation by utilizing depth information to reduce DE's computational complexity. First, the coordinate offset of the encoding block...
Search patterns and the center-biased characteristics of motion vector distribution have large impact on both searching speed and quality of block motion estimation. In this paper, we propose a new cross-hexagon search algorithm (NCHEXS) using two cross-shaped search patterns as the first two initial steps and large/small hexagon-shaped patterns as the subsequent steps for fast block motion estimation...
In this paper, a low-complexity motion-based saliency map estimation method for perceptual video coding is proposed. The method employs a camera motion compensated vector map computed by means of a hierarchical motion estimation (HME) procedure and a Restricted Affine Transformation (RAT)-based modeling of the camera motion. To allow for a computationally efficient solution, the number of layers of...
Images are usually consists of motion translation from one frame to another frame. Motion translation is represented by the pixels value changes based on the pixel density. The motion transition process from one frame to another frame is called motion estimation. Motion estimation is a process to determine the motion vector which represents the motion translation in the successive frames. There are...
In this paper, A picture is digitalized and the white noise is eliminated which appears in a motion picture of a videotape. The conventional method was developed for the purpose of repairing the blotch noise, focusing on the nature of violent video appear on the video noise, along with improvements to allow a better detection, that is, luminance threshold determination Used to improve interpolation...
Motion Estimation is the most complex part in H.264 encoder which takes more than 90% time in baseline profile while making test encoding using JM15.1. In the motion estimation stage, macro block cost calculation is very important for motion vector prediction and bit stream estimation. As a new characteristic introduced in H.264, Fractional ME is an essential part for improving encoder efficiency...
This paper has introduced a new algorithm to deal with the problems of displacement estimation for motion compensation. The simulation results show that the quality of the motion compensated prediction is similar to the one. However, the complexity associated with the calculation of motion estimation is reduced by 97%.
This paper proposes a Two Minimum Three Step Search (2MN3SS) block matching algorithm that improves the estimation accuracy and retains the simplicity of the Three Step Search (3SS) algorithm. Motion estimation using Full Search (FS) algorithm is computationally extensive. Other previously proposed algorithms reduce the computation by limiting the number of search points at the cost of higher distortion...
The endocardium tracking in ultrasound images is challenging due to large shape variations and the signal dropout. In this paper, we present a method to fuse multiple information sources to robustly track the endocardium. The first novelty of the method is to perform tracking in a straightened shape space, to minimize the image pattern changes caused by cardiac motions. Straightened images are used...
Motion estimation, also known as optic flow, refers to the process of determining a 2D displacement field that aligns two images. Most methods that estimate motion or deformation fields in biological image sequences rely on sparse, distinct features (landmarks). Going a step forward, we are interested in methods to compute dense deformation fields (for all pixels). In this paper we compare two of...
One of the key MRI methodologies to identify and characterize coronary artery disease is dynamic contrast enhanced myocardial perfusion imaging. Rapid acquisition of images can help in improved diagnosis by accurately measuring temporal dynamics of the injected contrast agent. Another competing requirement is complete coverage of the heart with high spatial resolution to better identify sub-endocardial...
We present a self-assessing image-based motion compensation method for coronary roadmapping in fluoroscopic images. Extending our previous work on respiratory motion compensation, we introduce kernel-based nonparametric data analysis in this work to better characterize the objective function involved in motion estimation, which leads to two new improvements in motion compensation. First, through mode...
Magnetic resonance imaging (MRI) allows continuous temperature mapping inside the human body and is thus a promising tool to guide thermal therapies. For abdominal organs, a real time motion compensation is required to allow quantitative temperature measurements and to permit retro-active control of the heating device. Although optical flow based algorithms have shown promise for this role, intensity...
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