Intelligence Science and Big Data Engineering. Image and Video Data Engineering

Name: Intelligence Science and Big Data Engineering. Image and Video Data Engineering | 5th International Conference, IScIDE 2015, Suzhou, China, June 14-16, 2015, Revised Selected Papers, Part I
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5th International Conference, IScIDE 2015, Suzhou, China, June 14-16, 2015, Revised Selected Papers, Part I

Xiaofei He Xinbo Gao Yanning Zhang Zhi-Hua Zhou Zhi-Yong Liu Baochuan Fu Fuyuan Hu Zhancheng Zhang(Editor)

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Published on 13. October 2015

XIX, 661 pages

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978-3-319-23989-7 (ISBN)

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Content

Intro
Preface
Organization
Contents - Part I
Contents - Part II
Fast and Accurate Text Detection in Natural Scene Images
1 Introduction
2 Scene Text Detection Algorithm
2.1 Repeating Components Filtering Using MSER Tree Pruning
2.2 Non-characters Filtering Using Bayesian Multi-cue Integration
2.3 Character Candidates Grouping
3 Experimental Results
4 Conclusion
References
Orthogonal Procrustes Problem Based Regression with Application to Face Recognition with Pose Variations
Abstract
1 Introduction
2 Literature Review of Orthogonal Procrustes Problem
3 Orthogonal Procrustes Problem Based Regression
3.1 The Left Side OPP Based Regression
3.2 The Right Side OPP Based Regression
3.3 The Bilateral OPP Based Regression
4 Algorithm
5 Experiments
5.1 Experiments on the CMU PIE Database
5.2 Experiments on the CMU Multi-PIE Database
6 Conclusion
References
A New Fisher Discriminative K-SVD Algorithm for Face Recognition
1 Introduction
2 Fisher Discrimination K-SVD Algorithm (FD-KSVD)
2.1 Fisher Discrimination K-SVD Model
2.2 Optimization
2.3 Classification
3 Experiments
3.1 Extended YaleB Database
3.2 AR Database
4 Conclusion
References
Learning Sparse Features in Convolutional Neural Networks for Image Classification
1 Introduction
2 Related Work
3 The Model
3.1 The Convolutional Neural Networks (CNN)
3.2 DAE with ReLU
4 Experiments and Results
4.1 Implementations
4.2 Results
5 Conclusions
References
Semi Random Patches Sampling Based on Spatio-temporal Information for Facial Expression Recognition
Abstract
1 Introduction
2 Expression Classification Using Semi Random Patches Sampling
2.1 Face Preprocessing
2.2 Feature Extraction
2.2.1 Spatio-temporal Expression Information
2.2.2 Semi Random Patches Sampling
2.2.3 Feature Vectors
2.3 Facial Expression Recognition
3 Experiments
3.1 Experimental Setup
3.2 Experimental Results
3.3 Recognition with Noise and Occlusion
4 Conclusions and Future Work
References
Band Selection of Hyperspectral Imagery Using a Weighted Fast Density Peak-Based Clustering Approach
Abstract
1 Introduction
2 The Fast Density Peak-Based Clustering Algorithm (FDPC)
3 The Weighted Fast Density Peak-Based Clustering Algorithm (W-FDPC)
4 Experimental Results
5 Conclusion
References
Modified Supervised Kernel PCA for Gender Classification
1 Introduction
1.1 Prior Work
1.2 Contribution of Work
1.3 Overview
2 Supervised Kernel PCA
2.1 Modified Link Matrix L
3 Experiment
3.1 Preliminary Simulation Study
3.2 Face Aging Database
3.3 Experiment
3.4 Results
4 Conclusion
References
Fast Film Genres Classification Combining Poster and Synopsis
Abstract
1 Introduction
1.1 Related Work
1.2 Our Work
2 Proposed Method
3 Feature Extraction
3.1 Image Feature
3.2 Text Feature
3.3 Classification
4 Experiments
4.1 Dataset
4.2 The Result of Experiments
5 Conclusions
Acknowledgements
References
A Heterogeneous Image Transformation Based Synthesis Framework for Face Sketch Aging
1 Introduction
2 The Proposed Framework
2.1 Sketch Based Photo Synthesis
2.2 Face Photo Aging
2.3 Photo Based Sketch Synthesis
3 Experimental Results
4 Conclusion
References
A Novel Image Segmentation Algorithm Based on Improved Active Contour Model
Abstract
1 Introduction
2 Edge Feature Extraction and Edge Indicator
3 Improvement of the Controlling of Active Contour Evolution
4 Image Segmentation Algorithm Based on the IEGAC Model
4.1 Segmentation of Cell Image
4.2 Segmentation of Ferrographic Image
4.3 Segmentation of the Pedestrian's Gait
5 Conclusion
Acknowledgment
References
Supervised Spectral Embedding for Human Pose Estimation
1 Introduction
2 Related Work
2.1 Vision-Based Pose Estimation
2.2 Subspace Learning
2.3 Multi-View Feature Combination
3 Proposed Algorithms
3.1 Preliminary
3.2 Visual Feature Extraction
3.3 Pose Distance Function
3.4 Supervised Spectral Embedding
3.5 Ensemble of Nearest Neighbor Regressions
4 Experiments
5 Conclusions
References
Matrix Based Regression with Local Position-Patch and Nonlocal Similarity for Face Hallucination
Abstract
1 Introduction
2 Nuclear Norm Based Coding
2.1 Formulation
2.2 Algorithm
3 Face Hallucination Based on Matrix Regression
3.1 Local Position-Patch Based Matrix Regression
3.2 Exploiting Nonlocal Self-similarities
4 Experimental Results
5 Conclusion
References
Facial Occlusion Detection via Structural Error Metrics and Clustering
1 Introduction
2 Structural Error Metrics and Clustering
2.1 Structural Differences Induced Error Metrics
2.2 Sharing Structures Induced Error Clustering
3 Optimal Error Metric Selection
4 Simulations and Experiments
4.1 Synthetic Facial Occlusion Detection
4.2 Real-World Facial Occlusion Detection
5 Conclusions
References
Graph Regularized Structured Sparse Subspace Clustering
Abstract
1 Introduction
2 Sparse Subspace Clustering
3 Graph Regularized Structured Sparse Subspace Clustering
4 Experiments
4.1 Experiments on Motion Segmentation
4.2 Experiments on Face Clustering
5 Conclusion
Acknowledgements
References
Precise Image Matching: A Similarity Measure Approach
Abstract
1 Introduction
2 Proposed Method
2.1 Push-to-Clean
2.2 Pull-to-Revive
2.3 Algorithm
3 Experimental Results and Analysis
4 Conclusions
Acknowledgments
References
Assigning PLS Based Descriptors by SVM in Action Recognition
1 Introduction
2 Proposed Method
2.1 Interest Points Detector
2.2 Extended HOG of Extracted Cuboids
2.3 Dimension Reduction with PLS
2.4 Feature Assignment by Multi-class SVM
3 Experiments
3.1 Facial Expression Dataset
3.2 KTH Dataset
4 Conclusion
References
Coupled Dictionary Learning with Common Label Alignment for Cross-Modal Retrieval
1 Introduction
2 The Proposed Model
2.1 Dictionary Learning
2.2 Problem Formulation
2.3 Optimization
2.4 Application to Cross-Modal Retrieval
3 Experiments
3.1 Experiment Setting
3.2 Performance Comparisons
4 Conclusions
References
Combining Active Learning and Semi-Supervised Learning Based on Extreme Learning Machine for Multi-class Image Classification
Abstract
1 Introduction
2 Methods
2.1 Extreme Learning Machine
2.2 Uncertainty Estimation Based on the Outputs of ELM
2.3 Active Learning and Semi-Supervised Learning Based on ELM
2.4 The Proposed Integrated Learning Algorithm for Multi-class Image Classification
3 Results and Discussions
3.1 Results on Three Handwriting Digit Data Sets
3.2 Results on the Object and Scene Recognition Data Sets
3.3 ELM Versus SVM
3.4 Application Conditions of the Proposed Learning Algorithm
4 Conclusions
Acknowledgments
References
Multi-modal Retrieval via Deep Textual-Visual Correlation Learning
1 Introduction
2 The Deep Textual-Visual Correlation Learning
2.1 Notations
2.2 Visual Feature Representation
2.3 Textual Feature Representation
2.4 Deep Multi-Modal Mapping
3 Experiments
4 Conclusion
References
Bidirectional Covariance Matrices: A Compact and Efficient Data Descriptor for Image Set Classification
Abstract
1 Introduction
2 Background
2.1 Riemannian Manifold of SPD Matrices
2.2 Riemannian Metric
3 Proposed Bidirectional Descriptor
3.1 Bidirectional Covariance Matrix
3.2 Learning with Proposed Descriptor
4 Experiments
4.1 Datasets and Presets
4.2 Results and Analysis
5 Conclusion
Acknowledgments
References
Image Denoising Using Modified Nonsubsampled Contourlet Transform Combined with Gaussian Scale Mixtures Model
1 Introduction
2 Analysis and Improvement of Nonsubsampled Contourlet Transform
2.1 Nonsubsampled Contourlet Transform (NSCT)
2.2 Improvement for NSDFB of NSCT
3 Gaussian Scale Mixtures Model
4 Image Denoising Method
5 Experimental Results and Analysis
6 Conclusions
References
Fast Correction Visual Tracking via Feedback Mechanism
1 Introduction
2 Related Works
3 Problem Formulation
3.1 Normalized Cross Correlation Filter
3.2 The Definition of Discrete-Quaternion-Fourier-Transform
3.3 Normalized Cross Correlation Based Spatial Appearance Model Using DQFT
3.4 Fast Calculation of DQFT Using FFT
4 Proposed Tracking Algorithm with Feedback Mechanism
4.1 Feedback Conditions
4.2 Re-Track Hard-Tracking Frames via Exploiting Temporal Information
5 Experiments
5.1 Overall Performance
5.2 Performance on Different Attributes
6 Conclusion
References
High Dynamic Range Image Rendering with a Luminance-Chromaticity Independent Model
1 Introduction
2 RBAF and It's Color Distortion Problem in Rendering HDR Image
3 Improving RBAF by Using a Luminance-Chromaticity Independent Model
3.1 Analysis of the Independence of Luminance and Chromaticity
3.2 Experimental Results and Comparison
4 Conclusion and Discussion
References
Graph Cuts Based Moving Object Detection for Aerial Video
1 Introduction
2 Related Work
3 Multi-Model Estimation Based Moving Object Detection
3.1 Algorithm Flow
3.2 Multi-model Estimation
3.3 Background Segmentation Based on Graph Cuts
3.4 Moving Object Detection
4 Experimental Results and Analysis
5 Conclusions
References
Compressed Hashing for Neighborhood Structure Preserving
Abstract
1 Introduction
2 Compressed Hashing for Neighborhood Structure Preserving
3 Experimental Results
3.1 Experimental Setting
3.2 Experimental Result
4 Conclusion
Acknowledgement
References
Abnormal Crowd Motion Detection Using Double Sparse Representations
1 Introduction
1.1 Relate Work
1.2 Abnormal Events Detection and Sparse Representation
1.3 Motivation and Contribution
2 Sparse Representation and Multi-scale Histogram of Optical Flow
3 Dynamic Dictionary Updating and Double Sparse Representations Method
3.1 Dynamic Dictionary Updating
3.2 Double Sparse Representations Method
4 Experiments
4.1 Glob Abnormal Events Detection
4.2 Local Abnormal Events Detection
5 Conclusion
References
Nonparametric Discriminant Analysis Based on the Trace Ratio Criterion
Abstract
1 Introduction
2 Related Works
2.1 LDA
2.2 Nonparametric Maximum Margin Criterion
2.3 Push-Pull Marginal Discriminant Analysis
3 Nonparametric Discriminant Analysis Based on the Trace Ratio Criterion
4 Experiments
4.1 Datasets
5 Comparative Methods and Settings
5.1 Experimental Results and Analysis
6 Conclusion
Acknowledgments
References
Traffic Sign Recognition Using Deep Convolutional Networks and Extreme Learning Machine
Abstract
1 Introduction
2 The CNN-ELM Model
2.1 Feature Extraction with CNN
2.2 Classification Using ELM
3 Experiments and Analysis
4 Conclusion
Acknowledgments
References
Hough Transform-Based Road Detection for Advanced Driver Assistance Systems
Abstract
1 Introduction
2 The Proposed Method
2.1 Pre-processing and Edge-Preserving Smoothing
2.2 Edge Detecting
2.3 Hough Transform and Line Detection
3 Results and Future Works
Acknowledgments
References
Dictionary Pair Learning with Block-Diagonal Structure for Image Classification
Abstract
1 Introduction
2 Brief Review of Related Work
3 Dictionary Pair Learning with Block-Diagonal Structure
3.1 Block-Diagonal Structure of Coding Coefficient
3.2 Block-Diagonal Structure of Analysis Dictionary
3.3 Dictionary Pair Learning with Block-Diagonal Structure
3.4 Solving Algorithm of DPL-BDS
4 Experiments
4.1 Discussion on Block-Diagonal Structure
4.2 Face Recognition
4.3 Scene Categorization
4.4 Action Recognition
5 Conclusion
Acknowledgment
References
A Gradient Weighted Thresholding Method for Image Segmentation
Abstract
1 Introduction
2 Otsu Method
3 The Gradient Weighted Method
3.1 Gray Level and Gradient Mapping (GGM) Function
3.2 Weighted Otsu Method Based on GGM Function
4 Experiment Results
5 Conclusions
Acknowledgements
References
Study on Image Classification with Convolution Neural Networks
Abstract
1 Introduction
2 Deep Learning
2.1 Introduction of Convolution Neural Network (CNN)
2.2 The Structure of Convolution Neural Networks
3 Method of Image Classification Based on Convolution Neural Network (CCN)
4 Results and Analysis of the Experiment
4.1 The Brief Introduction of MNIST Database
4.2 Assessments of Classification Accuracy
4.3 Analysis of Results
5 Conclusion
Acknowledgment
References
Multiscale Change Detection Method for Remote Sensing Images Based on Online Learning Framework
Abstract
1 Introduction
2 Paper Preparation
2.1 Difference Image
2.2 Classifiers
2.3 Initial Training of Classifiers
2.4 Online Learning
2.5 Expert Rules
3 Simulation Experiments
4 Conclusion
Acknowledgments
References
Spatiotemporal Saliency Detection Using Slow Feature Analysis and Spatial Information for Dynamic Scenes
1 Introduction
2 Previous Work
3 The SFA and Spatial Based Spatiotemporal Saliency
3.1 Collection of Training Cuboids
3.2 Unsupervised SFA Learning
3.3 Saliency Computation
3.4 Proto-Objects Detection in a Saliency Map
4 Experiments
4.1 Two-Layer SFA Transformation
4.2 Qualitative and Quantitative Analysis
5 Conclusion
References
Face Verification Across Aging Based on Deep Convolutional Networks and Local Binary Patterns
1 Introduction
2 Previous Work
3 Face Representation and Verification
3.1 DCNN Architecture and Training
3.2 Similarity Metric
4 Experiments
4.1 Preprocessing
4.2 Experiment Setup
4.3 Experiments on the CACD Dataset
4.4 Experiments on the LFW Dataset
5 Conclusion
References
Radar Model Correction of Asteroid 4179 Toutatis via Optical Images Observed by Chang'E-2 Probe
Abstract
1 Introduction
2 Depth Information Fusion Method
2.1 Image Pixels Mapping to Model Vertices
2.2 Depth Map Extraction from Optical Image
2.3 Data Fusion
3 Fused Model
4 Conclusion and Discussion
References
Coherence Enhancing Diffusion for Discontinuous Fringe Patterns with Oriented Boundary Padding
Abstract
1 Introduction
2 Orientation Based Segmentation
3 Oriented Padding Method for Irregular Boundaries
4 Results and Discussion
5 Conclusion
Acknowledgment
References
A Cooperative Fusion Method of Multi-sensor Image Based on Grey Relational Analysis
Abstract
1 Introduction
2 General Approaches to Fusion Image
3 Overview of Our Approach
4 Automatic Evaluation of Fuse Image
4.1 Fusion Image Performance Index
4.2 Grey Relational Analysis Evaluation
5 Experiments and Analysis
6 Conclusions
Acknowledgments
References
A Self-adaption Fusion Algorithm of PET/CT Based on DTCWT and Combination Membership Function
Abstract
1 Introduction
2 Basic Theories
2.1 Dual-Tree Complex Wavelet Transform
2.2 Fuzzy Mathematics
2.3 Evaluation Indicators
3 Fusion Algorithm
3.1 Algorithm Idea
3.2 Key Technology
4 Experiments and Results Analysis
4.1 Experiment 1
4.2 Experiment 2
5 Summary
Acknowledgment
References
Automatic Methods for Screening and Assessing Scoliosis by 2-D Digital Images
1 Introduction
1.1 Previous Work
1.2 Outline
2 Model and Algorithm
2.1 Edge-Based Model for Scoliosis Screening
2.2 Procedure of the Algorithm
3 Results
4 Conclusion
References
Exemplar-Based Image Inpainting Using Structure Consistent Patch Matching
Abstract
1 Introduction
2 Criminisi Algorithm
3 Proposed Approach
3.1 The Space Varying Updating Strategy for the Confidence Term
3.2 Structure Consistent Patch Matching
4 Experimental Results and Discussion
5 Conclusion
Acknowledgment
References
Content-Based Image Retrieval Using Hybrid Micro-Structure Descriptor
Abstract
1 Introduction
2 Review of Micro-Structure Descriptor
2.1 Color Quantization
2.2 Edge Orientation Detection
3 The Proposed Method HMSD
3.1 Edge Orientation Detection
3.2 Color Quantization
3.3 Micro-Structure Extraction
4 Experimental Results
5 Conclusion
Acknowledgments
References
Improvement on Gabor Texture Feature Based Biometric Analysis Using Image Blurring
Abstract
1 Introduction
2 Image Blurring Approach
3 Experimental Results
3.1 Blurring on Palmprint Database
3.2 Blurring on Iris Database
4 Performance Analysis
4.1 Gaussian Filter Window Size
4.2 Intra-class Distance and {{\bf d}}_{{{{\bf prime}}}}
4.3 Optimal Range
5 Conclusion
References
Robust Face Recognition with Occlusion by Fusing Image Gradient Orientations with Markov Random Fields
1 Introduction
2 Probabilistic Generative Model for Occluded Images
3 Markov Random Field for Occlusion Support
4 Conditional Probabilistic Error Model in IGO Domain
4.1 Uniform Error Distribution in the Occluded Region
4.2 Weight-Conditional Gaussian Error Distribution in the Non-Occluded Region
5 The Proposed Model
6 Simulations and Experiments
6.1 Synthetic Occlusion with Various Illumination
6.2 Real-World Occlusion with Non-uniform Illumination
7 Conclusions
References
3D Image Sharpening by Grid Warping
1 Introduction
2 Volume Image Blur Model
3 One-Dimensional Edge Sharpening
4 Volume Image Sharpening
5 Results
6 Conclusion
References
Interactive Visual Analysis for Comprehensive Dataset
Abstract
1 Introduction
2 Related Works
3 Data
4 Visual Analysis Tool Design
4.1 GPS Analyzer
4.2 Static Document Analyzer
4.3 Stream Text Analyzer
5 Interactive Analysis Case Study
5.1 Personal Data: Patten Identification
5.2 Personal Data to Public Data: Event Identification
5.3 In-Depth Analysis Suggestions
6 Summary
References
Non-negative Locality-Constrained Linear Coding for Image Classification
1 Introduction
2 Non-negative Locality-Constrained Linear Coding
2.1 Locality-Constrained Linear Coding
2.2 Approximated LLC
2.3 Non-negative Locality-Constrained Linear Coding
3 Approximated NNLLC
3.1 Stability of NNLLC
4 Results
4.1 Scene-15 Dataset
4.2 Caltech-101 Dataset
4.3 Caltech-256 Dataset
4.4 Comparison of Encoding Time
5 Conclusion
References
Blind Image Quality Assessment in Shearlet Domain
Abstract
1 Introduction
2 Blind Image Quality Assessment in Shearlet Domain
2.1 Shearlet Transform
2.2 NSS Features Extraction in Shearlet Domain
2.3 Quality Pooling
3 Experiments and Results
3.1 Consistency Experiment
3.2 Rationality Experiment
3.3 Multiscale Experiment
4 Conclusion
Acknowledgments
References
A Novel Image Quality Assessment for Color Distortions
Abstract
1 Introduction
2 Color Distortion
3 Proposed Method
3.1 Color-Perception Transform
3.2 Content Separation
3.3 Information Fusion
3.4 Quality Estimation
4 Experiments and Discussion
4.1 Experimental Data
4.2 Consistency Experiment
4.3 Rationality Experiment
4.4 Effectiveness Test of the PMc
5 Conclusion
Acknowledgments
References
Efficient Video Quality Assessment via 3D-Gradient Similarity Deviation
Abstract
1 Introduction
2 3D-Gradient
3 Efficient VQA via 3D Gradient Similarity Deviation
3.1 Spatio-temporal Features Extraction
3.2 Local Quality Computation
3.3 Standard Deviation Pooling Strategy
3.4 Temporal Pooling
4 Results and Analysis
4.1 Experimental Results
4.2 Parameter Sensitivity Analysis
5 Conclusions
Acknowledgments
References
Image Quality Assessment Based on Mutual Information in Pixel Domain
Abstract
1 Introduction
2 The Proposed Image Quality Assessment Algorithm
2.1 Image Partition
2.2 Measure the Image Information
2.3 Measure the Quality Factors
3 Experimental Results
3.1 Consistency Experiment
3.2 Rationality Experiment
3.3 Sensitivity Experiment
4 Conclusions
Acknowledgements
References
Semisupervised Classification of SAR Images by Maximum Margin Neural Networks Method
Abstract
1 Introduction
2 Maximum Margin Training Algorithms for Semi-Supervised Neural Networks Using in the SAR Classification
2.1 Manifold-Based Semi-Supervised Regularization Framework
2.2 Maximum Margin Training Algorithms for Semi-Supervised Neural Networks
3 Experimental Results
4 Conclusion
Acknowledgment
References
DT-CWT-Based Improved BAQ for Anti-Saturation SAR Raw Data Compression
Abstract
1 Introduction
2 Anti-Saturation Algorithm Based on Improved BAQ and DT-CWT
2.1 SAR Raw Signal Analysis
2.2 Improved BAQ Algorithm for Anti-Saturation SAR Raw Data Compression
2.3 DT-CWT Algorithm
2.4 Anti-Saturation Algorithm Based on Improved BAQ and DT-CWT
3 Experimental Result
4 Conclusion
Acknowledgment
References
Non-Negative Kernel Sparse Coding for Image Classification
1 Introduction
2 The Non-negative Kernel KSVD
2.1 The Kernel KSVD Model
2.2 Non-negative Kernel KSVD Model
3 Experiments and Results
4 Conclusion
References
Practical Computation Acceleration for Large Size Single Image Filtering Based Haze Removal
Abstract
1 Introduction
2 Technology Diagram
3 Computation Acceleration for Bilateral Filtering Based Dehazing
3.1 Fast Atmosphere Light Estimation
3.2 Fast Filtering Based Atmosphere Veil Refinement
3.3 Image Recovery Based Haze Removal
4 Experimental Results and Analysis
5 Conclusion
Acknowledgements
References
Fast Image Filter Based on Adaptive-Weight and Joint-Histogram Algorithm
Abstract
1 Introduction
2 Technical Background
3 Our Framework
3.1 Searching Median Using Histogram
3.2 Improving Adaptive-Weight of CBLMF and Filtering
4 Experimental Results and Discussion
4.1 Image Filter
4.2 Image Enhancement
4.3 Calculation Time
5 Conclusion
Acknowledgement
References
2.5D Facial Attractiveness Computation Based on Data-Driven Geometric Ratios
Abstract
1 Introduction
2 Methods
2.1 Framework
2.2 Feature Extraction
2.3 Feature Selection
2.4 Attractiveness Computation Model
3 Experiments
3.1 Experiment Dataset
3.2 Attractiveness Score Rating
3.3 Computation Model Results and Evaluation
4 Conclusion and Future Work
Acknowledgments
References
Spatial Resolution Enhancement of MWRI of FY-3 Satellite Using BGI
Abstract
1 Introduction
2 BG Inversion Algorithm
3 Simulations
4 Applying BG Algorithm in MWRI
4.1 Southern China Coast Area
4.2 Kara Sea Coastal Areas in Northern Russia
5 Conclusions
Acknowledgment
References
Multispectral Image Fusion Based on Laplacian Pyramid Decomposition with Immune Co-evolutionary Optimization
Abstract
1 Introduction
2 Fusion Algorithm Based on Laplacian Pyramid Decomposition with Immune Co-evolutionary (ICS_LP)
2.1 Constructing Laplacian Decomposition
2.2 Immune Co-evolutionary Optimizing Coefficients
2.3 The Fusion Algorithm
3 Experiments
3.1 The Evaluation Criterion of Fusion Effect
3.2 Numerical Experiments
4 Conclusion and Discussion
Acknowledgment
References
Local Variational Bayesian Inference Using Niche Differential Evolution for Brain Magnetic Resonance Image Segmentation
Abstract
1 Introduction
2 Variational Mixture of Gaussians
3 NDE-LVB Algorithm
3.1 Probabilistic Brain Atlas
3.2 Small MRI Data Volumes
3.3 Variational Bayesian Inference
3.4 NDE for Variational Bayesian Inference
3.5 Voxel Classification
4 Results
5 Discussions
6 Conclusions
Acknowledgments
References
Natural Image Dehazing Based on L0 Gradient Minimization
Abstract
1 Introduction
2 Image Dehazing Based on L0 Gradient Minimization
2.1 The Scene Transmission Based on the Boundary Constraint of the Scene
2.2 Refining Scene Transmission with L0 Gradient Minimization
2.3 Estimating the Atmospheric Light
2.4 Recovering the Scene Radiance
3 Experimental Results
4 Conclusion
Acknowledgments
References
An Adaptive Approach for Keypoints Description Using Fractional Derivative
Abstract
1 Introduction
2 Related Research
2.1 Orientation Histogram with Integral-Based Derivative Estimation
2.2 Grumwald-Letnikov Defined Fractional Differential
3 Orientation Histogram with Fractional Derivative and Joint Weight
3.1 Adaptive Selection Mechanism for Fractional Order Set
3.2 Magnitude and Orientation Recomputation with Adaptive Fractional Derivative
3.3 A Robust Weighting Scheme
4 Discussion and Experiments
4.1 An Evaluation Metric
4.2 Implementation in Standard SIFT Description
4.3 Implementation in Standard SURF Description
4.4 Controlled Transformations
5 Conclusion
Acknowledgement
References
Second Order Variational Model for Image Decomposition Using Split Bregman Algorithm
1 Introduction
2 The Proposed SOVO Model
3 The Split Bregman Algorithm
4 Solving the Subproblems
4.1 Minimization of Subproblem with Respect to u
4.2 Minimization of Subproblem with Respect to g
4.3 Minimization of Subproblem with Respect to w and m
5 Experimental Results
6 Conclusion
References
Sparse Coding for Symmetric Positive Definite Matrices with Application to Image Set Classification
Abstract
1 Introduction
2 Preliminaries
2.1 Riemannian Manifold and Metric
2.2 LED Kernel
3 Sparse Coding
3.1 Sparse Representation
3.2 Classification Based on Sparse Representation
4 Experiments and Results
4.1 Experiments for Sparse Coding
4.2 Experiments for Image Set Classification
5 Conclusion
Acknowledgments
References
Super-Resolution of Video Using Deformable Patches
1 Introduction
2 Example-Based Video Super-Resolution
3 Deformable Example Patches
4 Frame Reconstruction via Patches
5 Experimental Results
5.1 Dictionary and Experiments Setting
5.2 Video Super-Resolution Results
6 Conclusion
References
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