This paper proposes an improved Criminisi image restoration algorithm that produces better repairs and reduces the computational time. First, we improved the priority calculation and included a step that transforms the original confidence term into an index to achieve a more precise repair. Second, in large damaged areas of an image, we use a local searching method to find the optimal matching ...

Removing dynamic objects from videos is an extremely challenging problem that even visual effects professionals often solve with time-consuming manual frame-by-frame editing. We propose a new approach to video completion that can deal with complex scenes containing dynamic background and non-periodical moving objects. We build upon the idea that the spatio-temporal hole left by a removed object...

Semi-parametrically specified models for multivariate, longitudinal, clustered, multilevel, and other hierarchical data, particularly for non-Gaussian outcomes, are ubiquitous because their parameters can most often be conveniently estimated using the important class of generalized estimating equations (GEE). The focus here is on marginal models, to be understood as models that condition neithe...

This paper presents the use of Virtual Reality (VR) for movie actors rehearsal of VFX-enhanced scenes. The impediment behind VFX scenes is that actors must be filmed in front of monochromatic green or blue screens with hardly any cue to the digital scenery that is supposed to surround them. The problem is worsens when the scene includes interaction with digital partners. The actors must pretend...

Several charter schools have shown great success in improving the academic performance of students from low-performing school districts. It has been argued, however, that their success may be due to student selection. This paper tests of two aspects of these charter schools’ reforms using nationally representative panel data on student behavior and academic performance. First, I examine a polic...

We demonstrate that fixedand random-effects models for pooled cross-sectional and time series data, and latent growth curve models for panel data are special cases of a more general model. We compare the estimates obtained from each type of model for a data set consisting of homicide rates and a vector of explanatory variables for 400 US counties over a 15-year period. Most, but not all, estima...

This paper assesses the existence of a UK ‘wage curve’ to explore the role of regional unemployment in the determination of individual pay. Recent empirical research adheres to the existence of a new empirical law of economics, a stable inverse non-linear relationship between individual pay and the local unemployment rate. Critiques of this research emphasise issues concerning choice of econome...

Our objective is to explore the correlation between stock market and investors’ attention in China’s stock market through empirical analysis method. We use search volume (SV) to represent individual investors’ attention. We choose 1380 a-share stocks in SSE and SZSE from 2008 to 2011. After summarizing time series data of different cross-sections, we get the panel data. According to the fixed e...

SUMMARY In this paper we consiaer the problem wnere repeated measurements are taKen on eacn experimental unit of a randomized experimental design. If the design is a randomized complete block then traditionally a split-bloCK analysis is used. Here we consider an extension of tne traaitional sol it-bloCK analysis where \~e allow for several orthogonal autocorrelated error components deoending on...

Lorentz symmetry is a fundamental feature of modern descriptions of nature. Lorentz transformations include both spatial rotations and boosts. Therefore, experimental investigations of rotation symmetry provide important tests of the framework of the standard model of particle physics and single-metric theories of gravity [1]. In particular, the minimal SU(3)×SU(2)×U(1) standard model successfu...