13,232 research outputs found
A joint motion & disparity motion estimation technique for 3D integral video compression using evolutionary strategy
3D imaging techniques have the potential to establish a future mass-market in the fields of entertainment and communications. Integral imaging, which can capture true 3D color images with only one camera, has been seen as the right technology to offer stress-free viewing to audiences of more than one person. Just like any digital video, 3D video sequences must also be compressed in order to make it suitable for consumer domain applications. However, ordinary compression techniques found in state-of-the-art video coding standards such as H.264, MPEG-4 and MPEG-2 are not capable of producing enough compression while preserving the 3D clues. Fortunately, a huge amount of redundancies can be found in an integral video sequence in terms of motion and disparity. This paper discusses a novel approach to use both motion and disparity information to compress 3D integral video sequences. We propose to decompose the integral video sequence down to viewpoint video sequences and jointly exploit motion and disparity redundancies to maximize the compression. We further propose an optimization technique based on evolutionary strategies to minimize the computational complexity of the joint motion disparity estimation. Experimental results demonstrate that Joint Motion and Disparity Estimation can achieve over 1 dB objective quality gain over normal motion estimation. Once combined with Evolutionary strategy, this can achieve up to 94% computational cost saving
Dynamical Scaling of Polymerized Membranes
Monte Carlo simulations have been performed to analyze the sub-diffusion
dynamics of a tagged monomer in self-avoiding polymerized membranes in the flat
phase. By decomposing the mean square displacement into the out-of-plane
() and the in-plane () components, we obtain good data
collapse with two distinctive diffusion exponents and , and the roughness exponents
and ,
respectively for each component. Their values are consistent with the relation
from the rotational symmetry. We derive the generalized Langevin equations to
describe the sub-diffusional behaviors of a tagged monomer in the intermediate
time regime where the collective effect of internal modes in the membrane
dominate the dynamics to produce negative memory kernels with a power-law. We
also briefly discuss how the long-range hydrodynamic interactions alter the
exponents.Comment: 6 pages, 5 figures, (Europhysics Letters, in press
Non-linear Temperature Dependence of Resistivity in Single Crystalline AgPbO
We measured electrical resistivity, specific heat and magnetic susceptibility
of single crystals of highly conductive oxide Ag_5Pb_2O_6, which has a layered
structure containing a Kagome lattice. Both the out-of-plane and in-plane
resistivity show T^2 dependence in an unusually wide range of temperatures up
to room temperature. This behavior cannot be accounted for either by electron
correlation or by electron-phonon scattering with high frequency optic phonons.
In addition, a phase transition with a large diamagnetic signal was found in
the ac susceptibility, which strongly suggests the existence of a
superconducting phase below 48 mK.Comment: 5 pages, 5 figures; accepted for publication in Physcal Review B;
Revised version: small correction in the caption of Fig.
Data analysis of gravitational-wave signals from spinning neutron stars. V. A narrow-band all-sky search
We present theory and algorithms to perform an all-sky coherent search for
periodic signals of gravitational waves in narrow-band data of a detector. Our
search is based on a statistic, commonly called the -statistic,
derived from the maximum-likelihood principle in Paper I of this series. We
briefly review the response of a ground-based detector to the
gravitational-wave signal from a rotating neuron star and the derivation of the
-statistic. We present several algorithms to calculate efficiently
this statistic. In particular our algorithms are such that one can take
advantage of the speed of fast Fourier transform (FFT) in calculation of the
-statistic. We construct a grid in the parameter space such that
the nodes of the grid coincide with the Fourier frequencies. We present
interpolation methods that approximately convert the two integrals in the
-statistic into Fourier transforms so that the FFT algorithm can
be applied in their evaluation. We have implemented our methods and algorithms
into computer codes and we present results of the Monte Carlo simulations
performed to test these codes.Comment: REVTeX, 20 pages, 8 figure
Turbulence and turbulent pattern formation in a minimal model for active fluids
Active matter systems display a fascinating range of dynamical states,
including stationary patterns and turbulent phases. While the former can be
tackled with methods from the field of pattern formation, the spatio-temporal
disorder of the active turbulence phase calls for a statistical description.
Borrowing techniques from turbulence theory, we here establish a quantitative
description of correlation functions and spectra of a minimal continuum model
for active turbulence. Further exploring the parameter space, we also report on
a surprising type of turbulence-driven pattern formation far beyond linear
onset: the emergence of a dynamic hexagonal vortex lattice state after an
extended turbulent transient, which can only be explained taking into account
turbulent energy transfer across scales.Comment: Supplemental videos available at https://youtu.be/gbf6cRho03w
https://youtu.be/n0qUUhAUJFQ https://youtu.be/LGmamkM012
The water supercooled regime as described by four common water models
The temperature scale of simple water models in general does not coincide
with the natural one. Therefore, in order to make a meaningful evaluation of
different water models a temperature rescaling is necessary. In this paper we
introduce a rescaling using the melting temperature and the temperature
corresponding to the maximum of the heat capacity to evaluate four common water
models (TIP4P-Ew, TIP4P-2005, TIP5P-Ew and Six-Sites) in the supercooled
regime. Although all the models show the same general qualitative behavior, the
TIP5P-Ew appears as the best representation of the supercooled regime when the
rescaled temperature is used. We also analyze, using thermodynamic arguments,
the critical nucleus size for ice growth. Finally, we speculate on the possible
reasons why atomistic models do not usually crystalize while the coarse grained
mW model do crystallize.Comment: 8 pages, 8 figure
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