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One Dimensional (1D) Double Weight (DW) code families are one of the coding schemes reported for Spectral Amplitude Coding — Optical Code Division Multiple Access systems. Modified Double Weight code and Enhanced Double Weight code are two algorithms which increase the scope of DW code for even and odd weights respectively. By using above mentioned codes, two Dimensional (2D) codes are generated....
This paper presents a personalized preference estimation method for video recommendation. Our method not only uses deep convolutional neural network (DCNN)-based video features but also transforms them based on user's viewing behavior in order to improve accuracy of preference estimation for a video. Specifically, we adopt supervised multi-view canonical correlation analysis (sMVCCA) in order to calculate...
It is well known that given the (partial) correlation sequence from a 2nd order stationary Gaussian process, one can associate a (rational) positive real function with it. Indeed, a partial correlation sequence can be essentially be described by a lossless two-port, a passive loading of which provides all extensions of partial correlation sequence. While the above is true for one-dimensional processes...
Both mean velocity and spectral Doppler techniques are prone to estimation errors and variance, and new velocity estimation techniques need to be validated extensively before they can be considered for clinical use. Quantitative validation is commonly performed using simulations, with the advantage that the underlying velocity field is known. However, simulations typically produce only realizations...
In this work, the terahertz (THz) absorption spectra of a typical protein BSA (Bovine Serum Albumin) in aqueous solution were measured under different pH conditions. The temporal changes in the absorption spectra were analyzed using the two-dimensional correlation spectroscopy (2DCOS). By comparing the cross peaks corresponding to the different pH values, it can be obtained that the conformation is...
A 2D stochastic model of a phase-detection autofocus is proposed. A comprehensive analysis of its formal properties is conducted and its validity for a wide class of stochastic processes is proved. Moreover, formal properties of the phase-detection autofocus are analysed, together with assumptions necessary for its unimodality. Lastly, practical experiments, incorporating thermographic camera, which...
Differential static polarizability and black body radiation (BBR) shift for Ytterbium ion (171Yb+) clock transition from ground state 2S1/2 to metastable state 2D3/2 corresponding to the wavelength 435.5 nm are calculated accurately for frequency standard applications. The values are found to be −7.5(5) × 10−40 Jm2/V and −0.4(1) Hz, respectively, which are well in agreement with pre-available data...
The aim of present work is to develop an innovative and alternative method for the identification and quantification of methanol in white spirits based on twodimensional (2D) infrared spectroscopy. Firstly, for the identification and quantification of methanol in white spirits, 19 white spirits samples adulterated with different levels of methanol (0.1% to 10%) were prepared. And, the Fourier transform...
A Wilson system is a collection of finite linear combinations of time frequency shifts of a square integrable function. In this paper we give an account of the construction of bimodular Wilson bases in higher dimensions from Gabor frames of redundancy two.
Light propagates inside an ideal and infinite photonic crystal when the Bloch condition is satisfied and any allowed light wave is decomposed in a basis of propagating Bloch waves [1]. In real photonic crystals, light propagation is modified due to unavoidable fabrication-induced structural imperfections in size, positions, and permittivity of the building blocks, as well as the finite size of the...
simultaneously multiple objects matching under 2D affine transformations (six parameters or degree of freedom) is key, yet not resolved problem in computer vision. This paper proposes an optimized and efficient pattern matching method by maximizing the Normalized Cross Correlation (NCC) coefficient measure based on Multi-swarms Particle Swarm Optimization (MPSO). PSO is a kind of stochastic optimized...
Aiming at the image distortion caused by turbulence, an infrared image fuzzy measure algorithm based on local kurtosis of wavelet transform is proposed to identify the Two-dimensional (2D) Gaussian function model of the turbulence degraded image. In the process of image restoration, the Haar wavelet transform is applied to reduce the correlation of the image region. Then, the transformed coefficients...
High Efficient Video Coding (HEVC) improves coding efficiency but suffers from high computational complexity due to its quad-tree partitioning structure in motion estimation (ME). In recent development of 3D video technology, depth map from the 3D video provides an intimation of the objects' distance from the projected screen in a 3D scene, which inspires the authors to explore the adaptive search...
As latency sensitive applications, such as online video chatting and virtual reality become popular, end-to-end latency prediction is becoming an important problem. Traditional methods for latency prediction are static, and are unsuitable to predict time-varying round-trip times between the servers and edge devices. Though distance-feature decomposition is able to predict time-varying round-trip times...
Due to atmospheric turbulence, light randomly refracts in three dimensions (3D), eventually entering a camera at a perturbed angle. Each viewed object point thus has a distorted projection in a two-dimensional (2D) image. Simulating 3D random refraction for all viewed points via complex simulated 3D random turbulence is computationally expensive. We derive an efficient way to render 2D image distortions,...
A recent and fascinating interest in computational symmetry for computer vision and computer graphics applications has led to a remarkable realization of new symmetry detection algorithms. Such a concern is culminated in a symmetry detection competition as a workshop affiliated with the 2011 and 2013 CVPR Conferences. In this paper, we propose a method based on the computation of the symmetry level...
Encryption is one of many methods that have been used to secure storage and transmit images over unsecured and open networks. The asymmetric cryptography need more time for encryption and decryption. In this paper we suggested new method for image encryption that has the potential to overcome many of encryption problems. The proposed algorithm based on the concept of scrambling the positions of pixels,...
This paper presents a novel method for personalized video preference estimation based on early fusion using multiple users' viewing behavior. The proposed method adopts supervised Multi-View Canonical Correlation Analysis (sMVCCA) to estimate correlation between different types of features. Specifically, we estimate optimal projections maximizing the correlation between three features of video, target...
This paper proposes to use low-level spatial features extracted from multichannel audio for sound event detection. We extend the convolutional recurrent neural network to handle more than one type of these multichannel features by learning from each of them separately in the initial stages. We show that instead of concatenating the features of each channel into a single feature vector the network...
Conventional pixel-domain block matching temporal (inter) prediction is suboptimal, since it ignores the underlying spatial correlation. Hence in our recent research we proposed transform domain temporal prediction (TDTP), wherein spatially decorrelated transform coefficients are individually predicted. Later we proposed extended block TDTP (EB-TDTP), which fully exploits spatial correlation around...
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