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The recent light field imaging technology has been attracting a lot of interests due to its potential applications in a large number of areas including Virtual Reality, Augmented Reality (VR/AR), Teleconferencing, and E-learning. Light Field (LF) data is able to provide rich visual information such as scene rendering with changes in depth of field, viewpoint, and focal length. However, Light Field...
This paper suggests a new method for image registration, based on a new similarity measure, the standard deviation normalized summed squared difference. Such a similarity measure is explicitly defined on the effective overlap between two images, and the image registration is fulfilled by searching for a global minimum peak of this measure over the entire parameter space. Conceptually the suggested...
The Post-HEVC is the emerging video coding standard beyond the High Efficiency Video Coding (HEVC) standard. It is more complex in transformation and prediction steps but it offers the opportunity of 3D and 360° videos coding and compression. This paper presents different statistical analyzes of Post-HEVC encoded videos especially analysis on 1D and 2D transformation types and analysis on intra and...
Smart objects (SOs) have been utilized widely to transform the physical environment around us to a digital world using the Internet of things (IoT) vision. Integrating a huge number of these devices into the Internet presents a significant necessity for an efficient discovery mechanism with high capability of an autonomous configuration and detection for theses devices and their provided services...
We present an improved version of algorithm that can transform any context-free grammar into a supercombinator form. Such a form is composed only of lambda calculus' supercombinators that are enriched by grammar operations. The main properties of this form are non-redundancy and scalability. We show the improvements that we've made to create smaller supercombinator set than in our previous algorithm's...
An airborne ultrasound imaging system using 16 ultrasonic sensors surrounding a region of interest (ROI) was introduced in previous work. It allows reconstructing reflectivity images of multiple objects in 2D using a synthetic aperture focusing technique. The aim of this work is to automatically segment objects from these images to determine their positioning and allow classification.
The modern era has witnessed huge spike in the number of road accidents and fatalities. The common origin of traffic accidents is driver error. This is not going to change anytime soon thanks to the immense number of cell-phone users, in-car entertainment audio and video systems, and finally abundant traffic. There's one death every four minutes due to road accident in India. Such severe situation...
This paper presents two intra prediction algorithms in High Efficiency Video Coding (HEVC) encoder for reducing the computational complexity and increase the encoding speed. The first algorithm takes advantage of the high spatial correlation among neighboring pixels to substitute the reference samples as the first row or first and second rows of the current block to be predicted, while the pixels...
This paper proposes the method of propagation mode extraction on ionograms with the help of the Hough transform. Usually, the Hough transform for ionogram processing is used at the step of track autoscaling, when propagation modes already extracted. Authors propose a method for image binarization based on the application of abnormal sample extraction method which allows to use of the Hough transform...
Recent developments in the standardisation of High Efficiency Video Coding (HEVC) have shown that the block-wise activation/deactivation of a colour transform can significantly improve the compression performance. This coding tool is based on a fixed colour space which is either YCgCo in lossy compression mode or YCgCo-R in the lossless mode. The proposed method shows that the performance can be increased...
The engineering ideas of the Taguchi method have been widely recognized but the signal-to-noise ratio (S/N ratio) has drawn much criticism. Response surface methods do not use S/N ratios but it is not easy to build an adequate response surface model. In this paper, we propose a relatively simple method for analyzing the data from Taguchi experiments. The proposed approach directly uses the average...
In this work we explored the high-order Flux Reconstruction/correction procedure via reconstruction (FR/CPR) in inviscid low Mach number flow calculation. The method presented here is designed to improve the accuracy of the solution at low Mach numbers of the compressible Euler equations. The algorithm is based on modified low dissipation numerical Euler flux functions within FR framework, and the...
An approach to the spectral estimation for some classes of non-stationary random signals is developed, that addresses stationary random processes deformed by a stationarity-breaking transformation. Examples include frequency modulation, time warping, non-stationary filtering and others. Under suitable smoothness assumptions on the transformation, approximate expressions are obtained in adapted representation...
This paper is presenting the implementation and experimental validation of the cooperative robot localization framework “Atlas”. For ease of application, Atlas is implemented as a package for the Robot Operating System (ROS). ATLAS is based on dynamic cooperative sensor fusion which optimizes the estimated pose with respect to noise, respective variance. This paper validates the applicability of Atlas...
We consider the problem of encoding a finite set of vectors into a small number of bits while approximately retaining information on the angular distances between the vectors. By deriving improved variance bounds related to binary Gaussian circulant embeddings, we largely fix a gap in the proof of the best known fast binary embedding method. Our bounds also show that well-spreadness assumptions on...
Our paper shows a new methodology for controlling the models transformation from CIM to PIM into model driven architecture. In this proposal we founded on an analytical survey. Our methodology is based on creation of the transformable models in CIM level to facilitate the transformation task to the PIM level. We create a good PIM level, according to the three classic modelling views. Then, a set of...
A cyclic proof system, called CLKID-omega, gives us another way of representing inductive definitions and efficient proof search. The 2011 paper by Brotherston and Simpson showed that the provability of CLKID-omega includes the provability of the classical system of Martin-Lof's inductive definitions, called LKID, and conjectured the equivalence. By this year the equivalence has been left an open...
This work analyses the actual throughput of the Discrete Sine Transform (DST) stage in a realistic HEVC encoder, which executes the rate-distortion optimization algorithm to achieve high compression quality. Then, a low complexity DST factorization, where all the integer multiplications are substituted with add-and-shift operations, is exploited to design an efficient 1D-DST core. The proposed 1D-DST...
Conventional skeleton extraction methods require a closed boundary constraint to solve the problem. In natural images closed boundary constraint might not be easily satisfied due to the similarity of the object and its background, occlusion, etc. In this paper a novel approach based on the Delaunay triangulation to solve the skeleton extraction in natural images is proposed. The algorithm shows a...
AVS-P10 is the first national standard for mobile audio codec with completely independent intellectual property rights. In view of the current situation of the explosive growth of network audio data, According to the principle of AVS-P10 coding and based on AVS-P10 core encoder to make the algorithm compile. And the algorithm is optimized by the self search cycle optimization scheme. Finally, the...
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