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Online Crowdsourcing Subjective Image Quality Assessment
Subjective Image Quality Assessment Online Crowdsourc- ing Paired Comparison
2016/1/25
Recently, HodgeRank on random graphs has been proposed as an effective framework for multimedia quality assessment problem based on paired comparison method. With the ran-dom design on large graphs, i...
Online Crowdsourcing Subjective Image Quality Assessment
Subjective Image Quality Assessment Online Crowdsourc- ing Paired Comparison
2016/1/20
Recently, HodgeRank on random graphs has been proposed as an effective framework for multimedia quality assessment problem based on paired comparison method. With the ran-dom design on large graphs, i...
Optimal Estimation of Deterioration from Diagnostic Image Sequence
Damage interior-point methods optimal estimation regularization
2015/7/9
Estimation of mechanical structure damage can greatly benefit from the knowledge that the damage accumulates irreversibly over time. This paper formulates a problem of estimation of a pixel-wise monot...
A Supervised Neural Autoregressive Topic Model for Simultaneous Image Classification and Annotation
ASupervised Neural Autoregressive Topic Model Simultaneous Image Classification Annotation
2013/6/17
Topic modeling based on latent Dirichlet allocation (LDA) has been a framework of choice to perform scene recognition and annotation. Recently, a new type of topic model called the Document Neural Aut...
A spatio-spectral hybridization for edge preservation and noisy image restoration via local parametric mixtures and Lagrangian relaxation
Edge preserving smoother Semiparametric mixture model Partition of unity MISE Variational optimization Thin Plate Splines Spectral embedding Local template mod-els Multiple hypothesis testing.
2012/11/22
This paper investigates a fully unsupervised statistical method for edge preserving image restoration and compression using a spatial decomposition scheme. Smoothed maximum likelihood is used for loca...
Iterative graph cuts for image segmentation with a nonlinear statistical shape prior
Image segmentation MM graph cuts energy minimization statistical shape prior kernel density estimation
2012/9/18
Shape-based regularization has proven to be a useful method for delineating objects from the noisy im-ages encountered in many applications when one has prior
knowledge of the shape of the targeted o...
Information-theoretic Dictionary Learning for Image Classification
Dictionary learning information theory mutual Dictionary learning information theory mutual
2012/9/18
We present a two-stage approach for learning dic-tionaries for object classification tasks based on the principle of information maximization. The proposed method seeks a dictionary that is compact, d...
Fast Planar Correlation Clustering for Image Segmentation
Fast Planar Correlation Clustering Image Segmentation
2012/9/18
We describe a new optimization scheme for nding high-quality clusterings in planar graphs that uses weighted perfect matching as a subroutine. Our method provides lower-bounds on the energy of the op...
A random walk on image patches
image patches di usion maps Laplacian eigenmaps graph Laplacian
2011/7/19
In this paper we address the problem of understanding the success of algorithms that organize patches according to graph-based metrics. Algorithms that analyze patches extracted from images or time se...
Randomized algorithms for statistical image analysis and site percolation on square lattices
Image analysis signal detection percolation image reconstruction noisy image
2011/3/24
We propose a novel probabilistic method for detection of objects in noisy images. The method uses results from percolation and random graph theories. We present an algorithm that allows to detect obje...
Computationally efficient algorithms for statistical image processing. Implementation in R
Image analysis signal detection image recon-struction percolation noisy image unsupervised machine learning spatial statistics
2011/3/24
In the series of our earlier papers on the subject, we proposed a novel statistical hypothesis testing method for detection of objects in noisy images. The method uses results from percolation theory ...
On the consistency of Fréchet mean in deformable models for curve and image analysis
Mean pattern estimation Fr´ echet mean Shape analysis Deformable models
2010/10/14
A new class of statistical deformable models is introduced to study high-dimensional curves or images. These models are useful to analyze the geometric modes of variation of a data set around a commo...
Plugin procedure in segmentation and application to hyperspectral image segmentation
Segmentation mixture model penalized maximum likelihood estimation
2010/3/10
In this article we give our contribution to the problem of segmentation
with plug-in procedures. We give general sufficient conditions
under which plug in procedure are efficient. We also give an al...
Enhancing hyperspectral image unmixing with spatial correlations
Bayesian inference Monte Carlo methods spectral unmixing hyperspectral images Markovrandom fields Potts-Markov model
2010/3/10
This paper describes a new algorithm for hyperspectral image unmixing. Most of the unmixing
algorithms proposed in the literature do not take into account the possible spatial correlations
between t...
Locally adaptive image denoising by a statistical multiresolution criterion
Image reconstruction statistical multiresolution crite-rion bandwidth selection
2010/3/9
We demonstrate how one can choose the smoothing parameter in
image denoising by a statistical multiresolution criterion, both globally
and locally. Using inhomogeneous di usion and total variation r...