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The 4th edition of the International Conference on Multimedia Computing and Systems (ICMCS'16) consolidates its position among IEEE renowned conferences covering topics and issues related with multimedia technologies. These technologies are reshaping modern societies at different levels and through applications as diverse as medicine, education, virtual reality, augmented reality and entertainment.
Discrete Krawtchouk moments are powerful tools in the field of image processing application and pattern recognition. In this paper, we propose a fast and accurate algorithm based on matrix multiplication to extract local features of 3D Krawtchouk moments. The center of interest region in an object can be shifted by varying three parameters. We also computed local Tchebichef moments from 3D object...
In life we find a lot of several problems that touch all domains. One of them is dental medicine, which was crashing into the mechanical treatment. Nowadays, the appearance of computers in orthodontics has provided a solution to various problems and has facilitated many operations. The objectives of this study is to find a virtual approximation to real orthodontics problems of teeth movement based...
Recently, the 3D mesh segmentation is considered as an important stage in many applications in 3D shape analysis. In fact, extensive research has been performed to offer multiple approaches and algorithms for 3D mesh segmentation. Nevertheless, it is relatively hard to assess which algorithm produces more accurate segmentation quality than the other. Various methods have been proposed to evaluate...
NoSQL databases are designed to solve data processing problems in volume. Growth data today pushes us to think about new concepts and approaches for converting data from a source database to a NoSQL database. This paper describes some approaches, methods of migration, database reverse engineering, and offers a migration approach from a relational database to a Document-oriented database NoSQL (MongoDB)...
Document similarity measures between documents and queries has been extensively studied in information retrieval. Measuring the similarity of documents are crucial components of many text-analysis tasks, including information retrieval, document classification, and document clustering. However, there are a growing number of tasks that require computing the similarity between two very short segments...
It is widely recognized that the segmentation of 3D objects is one of the most important disciplines in computer vision. In the last few years, developments of 3D segmentation techniques are in continual expansion. However, little work has been directed toward the evaluation of 3D mesh segmentation methods and consequently there is still no satisfactory performance measure. In this paper, a new evaluation...
The purpose of this paper is to present an overview of existing active contours-based object tracking methods. This restriction to recent active contours-based approaches is voluntary for two main reasons. Firstly, developed active contours models are heterogeneous that we can divide them into several sub-categories which are designed with different information and secondly, an exhaustive review of...
Radial Charlier moments as discrete orthogonal moments in the polar coordinate are better descriptor in image processing applications and pattern recognition. However, the translation and scale invariant property of these moments have not been studied due to its complexity of the problem. In this paper, we present a method to construct a set of rotation invariants extracted from radial Charlier moments,...
The recognition of an expression seems obvious and easy when classified by the human brain. However, it is clearly difficult for a computer to detect human face, extract all of the components characterizing the facial expression and then determine its classification from a single image. Moreover, based on videos, the process becomes even more complex because it must take simultaneously into account...
The number of spanning trees in a graph G is a significant topological invariant of networks. The must known method to compute this number is the Matrix theorem. But this algorithm can not be used in the practical areas, because of its exponential complexity(Θ(n3)), namely for large graphs. that why there is so much interest in obtaining explicit expressions for some graph families. In this paper,...
The performances of Speaker Identification Systems (SIS) are strongly influenced by the quality and quantity of the used speech signal. Most of these systems are based on Gaussian Mixture Models (GMM) that is trained using a training speech database. The mismatch between the training conditions and the testing conditions has a deep impact on the accuracy of these systems and represents a barrier for...
This paper presents the implementation of an adaptive contour detection filter and tumor Characterization on field programmable gate array (FPGA) using a combination of hardware and software components. The proposed system locates contours from a calculation of Gradient in preferred directions while quantifying the importance of the outline with a wise thresholding. The dedicated algorithm is implemented...
When using uniform quantization schemas with dead zone, the final R/D performance may be affected by two parameters, (a) the dead zone size, and (b) reconstruction point location inside each quantization step. In this work we analyze how the dead zone size affects the image quality for wavelet based encoders that have been perceptually enhanced by using the Contrast Sensitivity Function (CSF). Since...
the motion estimation problem in image sequences is one of the most important tasks in computer vision. Thus, many methods were proposed to resolve this problem, but no universal method has been developed to determine the motion in all the situations and for all the types of objects in motion. In this paper, we propose to combine the advantages of neural methods in particular EMAN method and the frequency...
In this paper, we propose a novel vector transformation projecting the feature vectors in a new space, characterized by good discriminant properties, while reducing drastically the number of parameters used in the ASR systems. We call this method “N-to-1 Gaussian MFCC transformation”. It uses the HMM acoustic parameters obtained by N and 1 Gaussian in the training process in order to calculate the...
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