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In this paper, a fast Coding Unit (CU) partitioning algorithm is proposed to reduce encoding time of HEVC test model (HM). HEVC is the new generation video codec which improves the coding efficiency significantly and provides more than 50% bit rate reduction while maintaining the same image quality compared to its predecessor H.264/AVC. Different sizes of CUs are adopted during encoding which makes...
Cancer is a dense and abnormal cells proliferation in the body tissue. Breast cancer is the most common in woman's life. Fortunately, science evolution has led to the development of medical imaging techniques. The latter are efficiently used to detect any abnormality in breast parenchyma. Among these techniques, we can mention the MRI which is very relevant especially in terms of dubious image analysis...
Virtual worlds have become a target to criminal activities. With the increasing interest in these spaces, their security is becoming a challenge. The recently published works have proposed methodologies for the security of the virtual world based on avatar face authentication. However, the developed recognition systems have been validated on the avatar image datasets which belong to the authors themselves...
Microcalcifications are tiny deposits of calcium located in breast tissue. They appeared as very small highlighted regions in comparaison with their surrounding tissue. The difference of contrast between microcalcifications and the normal tissue depend on the breast density: The more the breast is dense, the less is the contrast. In this context, we propose to enhance microcalcifications details for...
The evaluation of Cardiac Magnetic Resonance (CMR) imaging exam is mainly based on the visual aspect. This visual evaluation depends on the level of expertise of the radiologist and it is characterized by variability within and between observers. The aim of this work is to propose a new method based on a mathematical model, “Fourier Transform” which calculates an amplitude parametric image. This image,...
The two-dimensional images are often insufficient to achieve a perfect diagnosis in the medical area; on the other hand the three-dimensional images allow having an interesting deductive vision and there denoising has become a necessity and an essential need. Many methods have been proposed to reduce noise and to preserve edge, are usually used for 2D images and they have been extended to 3D data...
Since the 1970, object recognition technologies have matured to a point at which exciting applications are becoming possible for visual substitution. In fact, industry has created a variety of computer vision products and services by developing new electronic aids for the blind in order to overcome the difficulties that the dog and cane do not respond. This paper provides an overview of various visual...
We present in this paper a novel solution for temporal segmentation of human gestures that takes advantage of the skeletal-joints streams offered by the Kinect sensor. Our contribution consist in introducing an improved skeletal representation and its usage in a multilayer motion delimitation that distinguishes the non-vocabulary actions. The evaluation of the solution is presented on a subset of...
Hyperspectral sensors (HS) are next-generation optical sensors that have excellent spectroscopic performance with hundreds of spectral bands. Multispectral sensors (MS) are conventional optical sensors that have a few tens of spectral bands with high spatial resolution. This work aims to combine, the spectral information of the hyperspectral image with the spatial and spectral information of the multispectral...
Medical image degradation has a significant impact on image quality, and thus affects human interpretation and the accuracy of computer-assisted diagnostic techniques. Unfortunately, Ultrasound images are mainly degraded by an intrinsic noise called speckle. Therefore, despekle filtering is a critical preprocessing step in medical ultrasound images. In this paper we propose a new image denoising technique...
The difficulties of having expertise in expert systems, the increasing of the data volume, self adaptation and prediction, all those problems are solved in the presence of learning. The classical definition of learning in cognitive science is the ability to improve the performance as the exercise of an activity. With learning, knowledge is automatically extracted from a data set. In this paper, we...
The detection of cerebral aneurysms is of a paramount importance in the prevention of intracranial sub-arachnoid hemorrhage. We propose in this paper, a complete detection scheme, consisting of two phases, to detect blobs and aneurysms in cerebral 2D-DSA images. The first classification phase extracts cerebral vasculature by means of the fusion of multiple classifiers. The second detection phase involves...
JPEG is the most commonly used image compression standard in today's world. Researchers have found that JPEG has many limitations, in order to overcome all those limitations and to add on new improved features, ISO and ITU-T have come up with new image compression standard, which is JPEG2000. The JPEG2000 is intended to provide a new image coding/decoding system using state of the art compression...
Cricket broadcast video analysis has had difficulty identifying aspects of the content such as the type of batting stroke or the direction of the field played towards. Here we construct a composite feature combining Optical flow analysis along with camera view analysis to model the type of shots played. The work first presents an improved camera shot analysis based on learning parameters from a small...
Image processing technology has grown significantly over the past decade. Its application on low-power mobile devices has been the interest of a wide research group related to newly emerging contexts such as augmented reality, visual search, object recognition, and so on. With the emergence of general-purpose computing on embedded GPUs and their programming models like OpenGL ES 2.0 and OpenCL, mobile...
Evaluating OCR software is an important task to test the accuracy and to compare the strengths and weaknesses of distinct OCR systems. Research in the past has been done to compare the performance of OCR systems, all metrics used before dependent only on the character accuracy. This paper introduces word-based accuracy as well as character accuracy metrics to evaluate and to compare the performance...
Nowadays biometric identification systems are widely spread since the safety of those systems has been proven. They exhibit a large number of advantages when compared to other identification systems such as key and password that are subject to falsification and loss. Among biometric systems, finger vein recognition based on venous network has been considered recently in the literatures. This paper...
Tracking objects under the presence of noise, objects with partial and full occlusions in complex environments is a challenge for classical mean shift and unscented Kalman filter algorithms. In this paper we propose a new algorithm combining mean shift algorithm with corrected background-weighted histogram (CBWH) and unscented Kalman filter (UKF). The CBWH scheme can effectively reduce background's...
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