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Computer Analysis of Images and Patterns [[electronic resource] ] : 15th International Conference, CAIP 2013, York, UK, August 27-29, 2013, Proceedings, Part II / / edited by Richard Wilson, Edwin Hancock, Adrian Bors, William Smith
| Computer Analysis of Images and Patterns [[electronic resource] ] : 15th International Conference, CAIP 2013, York, UK, August 27-29, 2013, Proceedings, Part II / / edited by Richard Wilson, Edwin Hancock, Adrian Bors, William Smith |
| Edizione | [1st ed. 2013.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2013 |
| Descrizione fisica | 1 online resource (XXII, 583 p. 279 illus.) |
| Disciplina | 006.6 |
| Collana | Image Processing, Computer Vision, Pattern Recognition, and Graphics |
| Soggetto topico |
Optical data processing
Artificial intelligence Biometrics (Biology) Computer science Computer Imaging, Vision, Pattern Recognition and Graphics Artificial Intelligence Biometrics Computer Science, general |
| ISBN | 3-642-40246-1 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Table of Contents – Part II Classified-Distance Based Shape Descriptor for Application to Image Retrieval -- A Shape Descriptor Based on Trainable COSFIRE Filters for the Recognition of Handwritten Digits -- Supporting Ancient Coin Classification by Image-Based Reverse Side Symbol Recognition -- Eyewitness Face Sketch Recognition Based on Two-Step Bias Modeling -- Weighted Semi-Global Matching and Center-Symmetric Census Transform for Robust Driver Assistance -- HandwrittenWord Image Matching Based on Heat Kernel Signature -- Wrong Roadway Detection for Multi-lane Roads -- Blind Deconvolution Using Alternating Maximum a Posteriori Estimation with Heavy-Tailed Priors. Focus Fusion with Anisotropic Depth Map Smoothing -- Accurate Fibre Orientation Measurement for Carbon Fibre Surfaces -- Benchmarking GPU-Based Phase Correlation for Homography-Based Registration of Aerial Imagery -- Robustness of Point Feature Detection -- Depth Super-Resolution by Enhanced Shift and Add -- Using Region-Based Saliency for 3D Interest Points Detection -- Accurate 3D Multi-marker Tracking in X-ray Cardiac Sequences Using a Two-Stage Graph Modeling Approach -- 3D Mesh Decomposition Using Protrusion and Boundary Part Detection -- Isometrically Invariant Description of Deformable Objects Based on the Fractional Heat Equation -- Discriminant Analysis Based Level Set Segmentation for Ultrasound Imaging -- Region Based Contour Detection by Dynamic Programming -- Sparse Coding and Mid-Level Superpixel-Feature for _0-Graph Based -- Unsupervised Image Segmentation -- Intuitive Large Image Database Browsing Using Perceptual Similarity Enriched by Crowds -- Irreversibility Analysis of Feature Transform-Based Cancelable Biometrics -- L∞ Norm Based Solution for Visual Odometry -- Matching Folded Garments to Unfolded Templates Using Robust Shape Analysis Techniques -- Multi-scale Image Segmentation Using MSER -- Multi-spectral Material Classification in Landscape Scenes Using Commodity Hardware -- Multispectral Stereo Image Correspondence -- NLP EAC Recognition by Component Separation in the Eye Region -- OPF-MRF: Optimum-Path Forest and Markov Random Fields for Contextual-Based Image Classification -- Orthonormal Diffusion Decompositions of Images for Optical Flow Estimation -- Pairwise Similarity for Line Extraction from Distorted Images -- Plant Leaf Classification Using Color on a Gravitational Approach -- Semi-automatic Image Annotation -- Segmentation of Skin Spectral Images Using Simulated Illuminations -- Robust Visual Object Tracking via Sparse Representation and Reconstruction -- Sphere Detection in Kinect Point Clouds Via the 3D Hough Transform -- Watermark Optimization of 3D Shapes for Minimal Distortion and High Robustness -- Wavelet Network and Geometric Features Fusion Using Belief Functions for 3D Face Recognition -- A Color-Based Selective and Interactive Filter Using Weighted TV -- A Composable Strategy for Shredded Document Reconstruction.- Global-Local Approach to Saliency Detection -- A Moving Average Bidirectional Texture Function Model -- A Multiscale Blob Representation of Mammographic Parenchymal Patterns and Mammographic Risk Assessment -- Alternating Optimization for Lambertian Photometric Stereo Model with Unknown Lighting Directions -- An Automated Visual Inspection System for the Classification of the Phases of Ti-6Al-4V Titanium Alloy -- Analysis of Bat Wing Beat Frequency Using Fourier Transform -- Automated Ground-Plane Estimation for Trajectory Rectification -- Breast Parenchymal Pattern Analysis in Digital Mammography: Associations between Tab`ar and Birads Tissue Compositions -- Color Transfer Based on Earth Mover’s Distance and Color Categorization -- Empirical Comparison of Visual Descriptors for Multiple Bleeding Spots Recognition in Wireless Capsule Endoscopy Video -- Exploring Interest Points and Local Descriptors for Word Spotting Application on Historical Handwriting Images -- Gravitational Based Texture Roughness for Plant Leaf Identification -- Heterogeneity Index for Directed Graphs -- High-Precision Lens Distortion Correction Using Smoothed Thin Plate Splines -- Identification Using Encrypted Biometrics -- Illumination Effects in Quantitative Virtual Microscopy -- Improving the Correspondence Establishment Based on Interactive Homography Estimation -- Interactive Segmentation of Media-Adventitia Border in IVUS -- Kernel Maximum Mean Discrepancy for Region Merging Approach -- Laplacian Derivative Based Regularization for Optical Flow Estimation in Driving Scenario -- Local and Global Statistics-Based Explicit Active Contour for Weld Defect Extraction in Radiographic Inspection -- Minimum Entropy Models for Laser Line Extraction -- A Convenient and Fast Method of Endoscope Calibration under Surgical Environment -- SAMSLAM: Simulated Annealing Monocular SLAM -- Spatial Patch Blending for Artefact Reduction in Pattern-Based Inpainting Techniques -- Spatio-temporal Support for Range Flow Based Ego-Motion Estimators -- Tracking for Quantifying Social Network of Drosophila Melanogaster -- Virtual Top View: Towards Real-Time Aggregation of Videos to Monitor Large Areas -- Writer Identification in Old Music Manuscripts Using Contour-Hinge Feature and Dimensionality Reduction with an Autoencoder -- Human Action Recognition Using Temporal Segmentation and Accordion Representation -- Effective Diversification for Ambiguous Queries in Social Image Retrieval. |
| Record Nr. | UNISA-996465693303316 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2013 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Computer Analysis of Images and Patterns [[electronic resource] ] : 15th International Conference, CAIP 2013, York, UK, August 27-29, 2013, Proceedings, Part I / / edited by Richard Wilson, Edwin Hancock, Adrian Bors, William Smith
| Computer Analysis of Images and Patterns [[electronic resource] ] : 15th International Conference, CAIP 2013, York, UK, August 27-29, 2013, Proceedings, Part I / / edited by Richard Wilson, Edwin Hancock, Adrian Bors, William Smith |
| Edizione | [1st ed. 2013.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2013 |
| Descrizione fisica | 1 online resource (XXII, 601 p. 231 illus.) |
| Disciplina | 006.6 |
| Collana | Image Processing, Computer Vision, Pattern Recognition, and Graphics |
| Soggetto topico |
Optical data processing
Artificial intelligence Biometrics (Biology) Computer science Computer Imaging, Vision, Pattern Recognition and Graphics Artificial Intelligence Biometrics Computer Science, general |
| ISBN | 3-642-40261-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Table of Contents – Part I.-Biomedical Imaging: A Computer Vision Perspective -- Rapid Localisation and Retrieval of Human Actions with Relevance Feedback -- Deformable Shape Reconstruction from Monocular Video with Manifold Forests -- Multi-SVM Multi-instance Learning for Object-Based Image Retrieval -- Maximizing Edit Distance Accuracy with Hidden Conditional Random Fields -- Background Recovery by Fixed-Rank Robust Principal Component Analysis -- Manifold Learning and the Quantum Jensen-Shannon Divergence Kernel -- Spatio-temporal Manifold Embedding for Nearly-Repetitive Contents in a Video Stream -- Spatio-temporal Human Body Segmentation from Video Stream -- Sparse Depth Sampling for Interventional 2-D/3-D Overlay: Theoretical Error Analysis and Enhanced Motion Estimation -- Video Synopsis Based on a Sequential Distortion Minimization Method -- A Graph Embedding Method Using the Jensen-Shannon Divergence -- Mixtures of Radial Densities for Clustering Graph -- Analysis of Wave Packet Signature of a Graph -- Hearing versus Seeing Identical Twins -- Voting Strategies for Anatomical Landmark Localization Using the Implicit Shape Model -- Evaluating the Impact of Color on Texture Recognition -- Temporal Self-Similarity for Appearance-Based Action Recognition in Multi-View Setups -- Adaptive Pixel/Patch-Based Stereo Matching for 2D Face Recognition -- A Machine Learning Approach for Displaying Query Results in Search Engines -- A New Pixel-Based Quality Measure for Segmentation Algorithms Integrating Precision, Recall and Specificity -- A Novel Border Identification Algorithm Based on an “Anti-Bayesian” Paradigm -- Assessing the Effect of Crossing Databases on Global and Local Approaches for Face Gender Classification -- BRDF Estimation for Faces from a Sparse Dataset Using a Neural Network -- Comparison of Leaf Recognition by Moments and Fourier Descriptors -- Dense Correspondence of Skull Models by Automatic Detection of Anatomical Landmarks -- Detection of Visual Defects in Citrus Fruits: Multivariate Image Analysis vs Graph Image Segmentation -- Domain Adaptation Based on Eigen-Analysis and Clustering, for Object Categorization -- Estimating Clusters Centres Using Support Vector Machine: An Improved Soft Subspace Clustering Algorithm -- Fast Approximate Minimum Spanning Tree Algorithm Based on K-Means -- Fast EM Principal Component Analysis Image Registration Using Neighbourhood Pixel Connectivity -- Fast Unsupervised Segmentation Using Active Contours and Belief Functions -- Flexible Hypersurface Fitting with RBF Kernels -- Gender Classification Using Facial Images and Basis Pursuit -- Graph Clustering through Attribute Statistics Based Embedding -- Graph-Based Regularization of Binary Classifiers for Texture Segmentation -- Hierarchical Annealed Particle Swarm Optimization for Articulated Object Tracking -- High-Resolution Feature Evaluation Benchmark -- Fully Automatic Segmentation of AP Pelvis X-rays via Random Forest Regression and Hierarchical Sparse Shape Composition -- Language Adaptive Methodology for Handwritten Text Line Segmentation -- Learning Geometry-Aware Kernels in a Regularization Framework -- Motion Trend Patterns for Action Modelling and Recognition -- On Achieving Near-Optimal “Anti-Bayesian” Order Statistics-Based Classification for Asymmetric Exponential Distributions -- Optimizing Feature Selection through Binary Charged System Search -- Outlines of Objects Detection by Analogy -- PaTHOS: Part-Based Tree Hierarchy for Object Segmentation -- Tracking System with Re-identification Using a Graph Kernels Approach -- Recognizing Human-Object Interactions Using Sparse Subspace Clustering -- Scale-Space Clustering on the Sphere -- The Importance of Long-Range Interactions to Texture Similarity -- Unsupervised Dynamic Textures Segmentation -- Voting Clustering and Key Points Selection -- Motor Pump Fault Diagnosis with Feature Selection and Levenberg-Marquardt Trained Feedforward Neural Network -- Unobtrusive Fall Detection at Home Using Kinect Sensor -- “BAM!” Depth-Based Body Analysis in Critical Care -- 3-D Feature Point Matching for Object Recognition Based on Estimation of Local Shape Distinctiveness -- 3D Human Tracking from Depth Cue in a Buying Behavior Analysis Context -- A New Bag of Words LBP (BoWL) Descriptor for Scene Image Classification.-Accurate Scale Factor Estimation in 3D Reconstruction -- Affine Colour Optical Flow Computation -- Can Salient Interest Regions Resume Emotional Impact of an Image? -- Contraharmonic Mean Based Bias Field Correction in MR Images -- Correlation between Biopsy Confirmed Cases and Radiologist’s Annotations in the Detection of Lung Nodules by Expanding the Diagnostic Database Using Content Based Image Retrieval -- Enforcing Consistency of 3D Scenes with Multiple Objects Using Shape-from-Contours -- Expectation Conditional Maximization-Based Deformable Shape Registration -- Facial Expression Recognition with Regional Features Using Local Binary Patterns -- Global Image Registration Using Random Projection and Local Linear Method -- Image Segmentation by Oriented Image Foresting Transform with Geodesic Star Convexity -- Multi-run 3D Streetside Reconstruction from a Vehicle -- Interactive Image Segmentation via Graph Clustering and Synthetic Coordinates Modeling. |
| Record Nr. | UNISA-996465693703316 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2013 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Computer Analysis of Images and Patterns : 15th International Conference, CAIP 2013, York, UK, August 27-29, 2013, Proceedings, Part I / / edited by Richard Wilson, Edwin Hancock, Adrian Bors, William Smith
| Computer Analysis of Images and Patterns : 15th International Conference, CAIP 2013, York, UK, August 27-29, 2013, Proceedings, Part I / / edited by Richard Wilson, Edwin Hancock, Adrian Bors, William Smith |
| Edizione | [1st ed. 2013.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2013 |
| Descrizione fisica | 1 online resource (XXII, 601 p. 231 illus.) |
| Disciplina | 006.6 |
| Collana | Image Processing, Computer Vision, Pattern Recognition, and Graphics |
| Soggetto topico |
Optical data processing
Artificial intelligence Biometrics (Biology) Computer science Computer Imaging, Vision, Pattern Recognition and Graphics Artificial Intelligence Biometrics Computer Science, general |
| ISBN | 3-642-40261-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Table of Contents – Part I.-Biomedical Imaging: A Computer Vision Perspective -- Rapid Localisation and Retrieval of Human Actions with Relevance Feedback -- Deformable Shape Reconstruction from Monocular Video with Manifold Forests -- Multi-SVM Multi-instance Learning for Object-Based Image Retrieval -- Maximizing Edit Distance Accuracy with Hidden Conditional Random Fields -- Background Recovery by Fixed-Rank Robust Principal Component Analysis -- Manifold Learning and the Quantum Jensen-Shannon Divergence Kernel -- Spatio-temporal Manifold Embedding for Nearly-Repetitive Contents in a Video Stream -- Spatio-temporal Human Body Segmentation from Video Stream -- Sparse Depth Sampling for Interventional 2-D/3-D Overlay: Theoretical Error Analysis and Enhanced Motion Estimation -- Video Synopsis Based on a Sequential Distortion Minimization Method -- A Graph Embedding Method Using the Jensen-Shannon Divergence -- Mixtures of Radial Densities for Clustering Graph -- Analysis of Wave Packet Signature of a Graph -- Hearing versus Seeing Identical Twins -- Voting Strategies for Anatomical Landmark Localization Using the Implicit Shape Model -- Evaluating the Impact of Color on Texture Recognition -- Temporal Self-Similarity for Appearance-Based Action Recognition in Multi-View Setups -- Adaptive Pixel/Patch-Based Stereo Matching for 2D Face Recognition -- A Machine Learning Approach for Displaying Query Results in Search Engines -- A New Pixel-Based Quality Measure for Segmentation Algorithms Integrating Precision, Recall and Specificity -- A Novel Border Identification Algorithm Based on an “Anti-Bayesian” Paradigm -- Assessing the Effect of Crossing Databases on Global and Local Approaches for Face Gender Classification -- BRDF Estimation for Faces from a Sparse Dataset Using a Neural Network -- Comparison of Leaf Recognition by Moments and Fourier Descriptors -- Dense Correspondence of Skull Models by Automatic Detection of Anatomical Landmarks -- Detection of Visual Defects in Citrus Fruits: Multivariate Image Analysis vs Graph Image Segmentation -- Domain Adaptation Based on Eigen-Analysis and Clustering, for Object Categorization -- Estimating Clusters Centres Using Support Vector Machine: An Improved Soft Subspace Clustering Algorithm -- Fast Approximate Minimum Spanning Tree Algorithm Based on K-Means -- Fast EM Principal Component Analysis Image Registration Using Neighbourhood Pixel Connectivity -- Fast Unsupervised Segmentation Using Active Contours and Belief Functions -- Flexible Hypersurface Fitting with RBF Kernels -- Gender Classification Using Facial Images and Basis Pursuit -- Graph Clustering through Attribute Statistics Based Embedding -- Graph-Based Regularization of Binary Classifiers for Texture Segmentation -- Hierarchical Annealed Particle Swarm Optimization for Articulated Object Tracking -- High-Resolution Feature Evaluation Benchmark -- Fully Automatic Segmentation of AP Pelvis X-rays via Random Forest Regression and Hierarchical Sparse Shape Composition -- Language Adaptive Methodology for Handwritten Text Line Segmentation -- Learning Geometry-Aware Kernels in a Regularization Framework -- Motion Trend Patterns for Action Modelling and Recognition -- On Achieving Near-Optimal “Anti-Bayesian” Order Statistics-Based Classification for Asymmetric Exponential Distributions -- Optimizing Feature Selection through Binary Charged System Search -- Outlines of Objects Detection by Analogy -- PaTHOS: Part-Based Tree Hierarchy for Object Segmentation -- Tracking System with Re-identification Using a Graph Kernels Approach -- Recognizing Human-Object Interactions Using Sparse Subspace Clustering -- Scale-Space Clustering on the Sphere -- The Importance of Long-Range Interactions to Texture Similarity -- Unsupervised Dynamic Textures Segmentation -- Voting Clustering and Key Points Selection -- Motor Pump Fault Diagnosis with Feature Selection and Levenberg-Marquardt Trained Feedforward Neural Network -- Unobtrusive Fall Detection at Home Using Kinect Sensor -- “BAM!” Depth-Based Body Analysis in Critical Care -- 3-D Feature Point Matching for Object Recognition Based on Estimation of Local Shape Distinctiveness -- 3D Human Tracking from Depth Cue in a Buying Behavior Analysis Context -- A New Bag of Words LBP (BoWL) Descriptor for Scene Image Classification.-Accurate Scale Factor Estimation in 3D Reconstruction -- Affine Colour Optical Flow Computation -- Can Salient Interest Regions Resume Emotional Impact of an Image? -- Contraharmonic Mean Based Bias Field Correction in MR Images -- Correlation between Biopsy Confirmed Cases and Radiologist’s Annotations in the Detection of Lung Nodules by Expanding the Diagnostic Database Using Content Based Image Retrieval -- Enforcing Consistency of 3D Scenes with Multiple Objects Using Shape-from-Contours -- Expectation Conditional Maximization-Based Deformable Shape Registration -- Facial Expression Recognition with Regional Features Using Local Binary Patterns -- Global Image Registration Using Random Projection and Local Linear Method -- Image Segmentation by Oriented Image Foresting Transform with Geodesic Star Convexity -- Multi-run 3D Streetside Reconstruction from a Vehicle -- Interactive Image Segmentation via Graph Clustering and Synthetic Coordinates Modeling. |
| Record Nr. | UNINA-9910484020703321 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2013 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Computer Analysis of Images and Patterns : 15th International Conference, CAIP 2013, York, UK, August 27-29, 2013, Proceedings, Part II / / edited by Richard Wilson, Edwin Hancock, Adrian Bors, William Smith
| Computer Analysis of Images and Patterns : 15th International Conference, CAIP 2013, York, UK, August 27-29, 2013, Proceedings, Part II / / edited by Richard Wilson, Edwin Hancock, Adrian Bors, William Smith |
| Edizione | [1st ed. 2013.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2013 |
| Descrizione fisica | 1 online resource (XXII, 583 p. 279 illus.) |
| Disciplina | 006.6 |
| Collana | Image Processing, Computer Vision, Pattern Recognition, and Graphics |
| Soggetto topico |
Optical data processing
Artificial intelligence Biometrics (Biology) Computer science Computer Imaging, Vision, Pattern Recognition and Graphics Artificial Intelligence Biometrics Computer Science, general |
| ISBN | 3-642-40246-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Table of Contents – Part II Classified-Distance Based Shape Descriptor for Application to Image Retrieval -- A Shape Descriptor Based on Trainable COSFIRE Filters for the Recognition of Handwritten Digits -- Supporting Ancient Coin Classification by Image-Based Reverse Side Symbol Recognition -- Eyewitness Face Sketch Recognition Based on Two-Step Bias Modeling -- Weighted Semi-Global Matching and Center-Symmetric Census Transform for Robust Driver Assistance -- HandwrittenWord Image Matching Based on Heat Kernel Signature -- Wrong Roadway Detection for Multi-lane Roads -- Blind Deconvolution Using Alternating Maximum a Posteriori Estimation with Heavy-Tailed Priors. Focus Fusion with Anisotropic Depth Map Smoothing -- Accurate Fibre Orientation Measurement for Carbon Fibre Surfaces -- Benchmarking GPU-Based Phase Correlation for Homography-Based Registration of Aerial Imagery -- Robustness of Point Feature Detection -- Depth Super-Resolution by Enhanced Shift and Add -- Using Region-Based Saliency for 3D Interest Points Detection -- Accurate 3D Multi-marker Tracking in X-ray Cardiac Sequences Using a Two-Stage Graph Modeling Approach -- 3D Mesh Decomposition Using Protrusion and Boundary Part Detection -- Isometrically Invariant Description of Deformable Objects Based on the Fractional Heat Equation -- Discriminant Analysis Based Level Set Segmentation for Ultrasound Imaging -- Region Based Contour Detection by Dynamic Programming -- Sparse Coding and Mid-Level Superpixel-Feature for _0-Graph Based -- Unsupervised Image Segmentation -- Intuitive Large Image Database Browsing Using Perceptual Similarity Enriched by Crowds -- Irreversibility Analysis of Feature Transform-Based Cancelable Biometrics -- L∞ Norm Based Solution for Visual Odometry -- Matching Folded Garments to Unfolded Templates Using Robust Shape Analysis Techniques -- Multi-scale Image Segmentation Using MSER -- Multi-spectral Material Classification in Landscape Scenes Using Commodity Hardware -- Multispectral Stereo Image Correspondence -- NLP EAC Recognition by Component Separation in the Eye Region -- OPF-MRF: Optimum-Path Forest and Markov Random Fields for Contextual-Based Image Classification -- Orthonormal Diffusion Decompositions of Images for Optical Flow Estimation -- Pairwise Similarity for Line Extraction from Distorted Images -- Plant Leaf Classification Using Color on a Gravitational Approach -- Semi-automatic Image Annotation -- Segmentation of Skin Spectral Images Using Simulated Illuminations -- Robust Visual Object Tracking via Sparse Representation and Reconstruction -- Sphere Detection in Kinect Point Clouds Via the 3D Hough Transform -- Watermark Optimization of 3D Shapes for Minimal Distortion and High Robustness -- Wavelet Network and Geometric Features Fusion Using Belief Functions for 3D Face Recognition -- A Color-Based Selective and Interactive Filter Using Weighted TV -- A Composable Strategy for Shredded Document Reconstruction.- Global-Local Approach to Saliency Detection -- A Moving Average Bidirectional Texture Function Model -- A Multiscale Blob Representation of Mammographic Parenchymal Patterns and Mammographic Risk Assessment -- Alternating Optimization for Lambertian Photometric Stereo Model with Unknown Lighting Directions -- An Automated Visual Inspection System for the Classification of the Phases of Ti-6Al-4V Titanium Alloy -- Analysis of Bat Wing Beat Frequency Using Fourier Transform -- Automated Ground-Plane Estimation for Trajectory Rectification -- Breast Parenchymal Pattern Analysis in Digital Mammography: Associations between Tab`ar and Birads Tissue Compositions -- Color Transfer Based on Earth Mover’s Distance and Color Categorization -- Empirical Comparison of Visual Descriptors for Multiple Bleeding Spots Recognition in Wireless Capsule Endoscopy Video -- Exploring Interest Points and Local Descriptors for Word Spotting Application on Historical Handwriting Images -- Gravitational Based Texture Roughness for Plant Leaf Identification -- Heterogeneity Index for Directed Graphs -- High-Precision Lens Distortion Correction Using Smoothed Thin Plate Splines -- Identification Using Encrypted Biometrics -- Illumination Effects in Quantitative Virtual Microscopy -- Improving the Correspondence Establishment Based on Interactive Homography Estimation -- Interactive Segmentation of Media-Adventitia Border in IVUS -- Kernel Maximum Mean Discrepancy for Region Merging Approach -- Laplacian Derivative Based Regularization for Optical Flow Estimation in Driving Scenario -- Local and Global Statistics-Based Explicit Active Contour for Weld Defect Extraction in Radiographic Inspection -- Minimum Entropy Models for Laser Line Extraction -- A Convenient and Fast Method of Endoscope Calibration under Surgical Environment -- SAMSLAM: Simulated Annealing Monocular SLAM -- Spatial Patch Blending for Artefact Reduction in Pattern-Based Inpainting Techniques -- Spatio-temporal Support for Range Flow Based Ego-Motion Estimators -- Tracking for Quantifying Social Network of Drosophila Melanogaster -- Virtual Top View: Towards Real-Time Aggregation of Videos to Monitor Large Areas -- Writer Identification in Old Music Manuscripts Using Contour-Hinge Feature and Dimensionality Reduction with an Autoencoder -- Human Action Recognition Using Temporal Segmentation and Accordion Representation -- Effective Diversification for Ambiguous Queries in Social Image Retrieval. |
| Record Nr. | UNINA-9910484090103321 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2013 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Energy Minimization Methods in Computer Vision and Pattern Recognition [[electronic resource] ] : 11th International Conference, EMMCVPR 2017, Venice, Italy, October 30 – November 1, 2017, Revised Selected Papers / / edited by Marcello Pelillo, Edwin Hancock
| Energy Minimization Methods in Computer Vision and Pattern Recognition [[electronic resource] ] : 11th International Conference, EMMCVPR 2017, Venice, Italy, October 30 – November 1, 2017, Revised Selected Papers / / edited by Marcello Pelillo, Edwin Hancock |
| Edizione | [1st ed. 2018.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 |
| Descrizione fisica | 1 online resource (XII, 582 p.) |
| Disciplina | 006.37 |
| Collana | Image Processing, Computer Vision, Pattern Recognition, and Graphics |
| Soggetto topico |
Pattern recognition
Arithmetic and logic units, Computer Optical data processing Numerical analysis Computer science—Mathematics Artificial intelligence Pattern Recognition Arithmetic and Logic Structures Image Processing and Computer Vision Numeric Computing Math Applications in Computer Science Artificial Intelligence |
| ISBN | 3-319-78199-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Clustering and Quantum Methods -- Motion and Tracking -- Image Processing and Segmentation -- Color, Shading and Reflectance of Light -- Propagation and Time-evolution -- Inference, Labeling, and Relaxation. |
| Record Nr. | UNISA-996465518603316 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Energy Minimization Methods in Computer Vision and Pattern Recognition : 11th International Conference, EMMCVPR 2017, Venice, Italy, October 30 – November 1, 2017, Revised Selected Papers / / edited by Marcello Pelillo, Edwin Hancock
| Energy Minimization Methods in Computer Vision and Pattern Recognition : 11th International Conference, EMMCVPR 2017, Venice, Italy, October 30 – November 1, 2017, Revised Selected Papers / / edited by Marcello Pelillo, Edwin Hancock |
| Edizione | [1st ed. 2018.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 |
| Descrizione fisica | 1 online resource (XII, 582 p.) |
| Disciplina | 006.37 |
| Collana | Image Processing, Computer Vision, Pattern Recognition, and Graphics |
| Soggetto topico |
Pattern recognition
Arithmetic and logic units, Computer Optical data processing Numerical analysis Computer science—Mathematics Artificial intelligence Pattern Recognition Arithmetic and Logic Structures Image Processing and Computer Vision Numeric Computing Math Applications in Computer Science Artificial Intelligence |
| ISBN | 3-319-78199-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Clustering and Quantum Methods -- Motion and Tracking -- Image Processing and Segmentation -- Color, Shading and Reflectance of Light -- Propagation and Time-evolution -- Inference, Labeling, and Relaxation. |
| Record Nr. | UNINA-9910349425503321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Graph Based Representations in Pattern Recognition [[electronic resource] ] : 4th IAPR International Workshop, GbRPR 2003, York, UK, June 30 - July 2, 2003. Proceedings / / edited by Edwin Hancock, Mario Vento
| Graph Based Representations in Pattern Recognition [[electronic resource] ] : 4th IAPR International Workshop, GbRPR 2003, York, UK, June 30 - July 2, 2003. Proceedings / / edited by Edwin Hancock, Mario Vento |
| Edizione | [1st ed. 2003.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2003 |
| Descrizione fisica | 1 online resource (VIII, 276 p.) |
| Disciplina | 006.4/2 |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
Pattern recognition
Computer science Data structures (Computer science) Computer science—Mathematics Computer graphics Pattern Recognition Science, Humanities and Social Sciences, multidisciplinary Computer Science, general Data Structures Discrete Mathematics in Computer Science Computer Graphics |
| ISBN | 3-540-45028-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Data Structures and Representation -- Construction of Combinatorial Pyramids -- On Graphs with Unique Node Labels -- Constructing Stochastic Pyramids by MIDES — Maximal Independent Directed Edge Set -- Segmentation -- Functional Modeling of Structured Images -- Building of Symbolic Hierarchical Graphs for Feature Extraction -- Comparison and Convergence of Two Topological Models for 3D Image Segmentation -- Graph Edit Distance -- Tree Edit Distance from Information Theory -- Self-Organizing Graph Edit Distance -- Graph Edit Distance with Node Splitting and Merging, and Its Application to Diatom Identification -- Graph Matching -- Orthonormal Kernel Kronecker Product Graph Mdatching -- Theoretical Analysis and Experimental Comparison of Graph Matching Algorithms for Database Filtering -- A Comparison of Three Maximum Common Subgraph Algorithms on a Large Database of Labeled Graphs -- Swap Strategies for Graph Matching -- Matrix Methods -- Graph Matching Using Spectral Seriation and String Edit Distance -- Graph Polynomials, Principal Pivoting, and Maximum Independent Sets -- Graph Partition for Matching -- Graph Clustering -- Spectral Clustering of Graphs -- Comparison of Distance Measures for Graph-Based Clustering of Documents -- Some Experiments on Clustering a Set of Strings -- A New Median Graph Algorithm -- Graph Clustering Using the Weighted Minimum Common Supergraph -- ACM Attributed Graph Clustering for Learning Classes of Images -- A Competitive Winner-Takes-All Architecture for Classification and Pattern Recognition of Structures. |
| Record Nr. | UNISA-996465897603316 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2003 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Graph Based Representations in Pattern Recognition : 4th IAPR International Workshop, GbRPR 2003, York, UK, June 30 - July 2, 2003. Proceedings / / edited by Edwin Hancock, Mario Vento
| Graph Based Representations in Pattern Recognition : 4th IAPR International Workshop, GbRPR 2003, York, UK, June 30 - July 2, 2003. Proceedings / / edited by Edwin Hancock, Mario Vento |
| Edizione | [1st ed. 2003.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2003 |
| Descrizione fisica | 1 online resource (VIII, 276 p.) |
| Disciplina | 006.4/2 |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
Pattern recognition
Computer science Data structures (Computer science) Computer science—Mathematics Computer graphics Pattern Recognition Science, Humanities and Social Sciences, multidisciplinary Computer Science, general Data Structures Discrete Mathematics in Computer Science Computer Graphics |
| ISBN | 3-540-45028-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Data Structures and Representation -- Construction of Combinatorial Pyramids -- On Graphs with Unique Node Labels -- Constructing Stochastic Pyramids by MIDES — Maximal Independent Directed Edge Set -- Segmentation -- Functional Modeling of Structured Images -- Building of Symbolic Hierarchical Graphs for Feature Extraction -- Comparison and Convergence of Two Topological Models for 3D Image Segmentation -- Graph Edit Distance -- Tree Edit Distance from Information Theory -- Self-Organizing Graph Edit Distance -- Graph Edit Distance with Node Splitting and Merging, and Its Application to Diatom Identification -- Graph Matching -- Orthonormal Kernel Kronecker Product Graph Mdatching -- Theoretical Analysis and Experimental Comparison of Graph Matching Algorithms for Database Filtering -- A Comparison of Three Maximum Common Subgraph Algorithms on a Large Database of Labeled Graphs -- Swap Strategies for Graph Matching -- Matrix Methods -- Graph Matching Using Spectral Seriation and String Edit Distance -- Graph Polynomials, Principal Pivoting, and Maximum Independent Sets -- Graph Partition for Matching -- Graph Clustering -- Spectral Clustering of Graphs -- Comparison of Distance Measures for Graph-Based Clustering of Documents -- Some Experiments on Clustering a Set of Strings -- A New Median Graph Algorithm -- Graph Clustering Using the Weighted Minimum Common Supergraph -- ACM Attributed Graph Clustering for Learning Classes of Images -- A Competitive Winner-Takes-All Architecture for Classification and Pattern Recognition of Structures. |
| Record Nr. | UNINA-9910768469603321 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2003 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Image Analysis and Processing - ICIAP 2023 Workshops [[electronic resource] ] : Udine, Italy, September 11–15, 2023, Proceedings, Part II / / edited by Gian Luca Foresti, Andrea Fusiello, Edwin Hancock
| Image Analysis and Processing - ICIAP 2023 Workshops [[electronic resource] ] : Udine, Italy, September 11–15, 2023, Proceedings, Part II / / edited by Gian Luca Foresti, Andrea Fusiello, Edwin Hancock |
| Autore | Foresti Gian Luca |
| Edizione | [1st ed. 2024.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 |
| Descrizione fisica | 1 online resource (514 pages) |
| Disciplina | 006.37 |
| Altri autori (Persone) |
FusielloAndrea
HancockEdwin |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
Computer vision
Computer engineering Computer networks Machine learning Education - Data processing Pattern recognition systems Computer Vision Computer Engineering and Networks Machine Learning Computers and Education Automated Pattern Recognition |
| ISBN | 3-031-51026-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Organization -- Contents - Part II -- Contents - Part I -- Artificial Intelligence and Radiomics in Computer-Aided Diagnosis (AIRCAD) -- Leukocytes Classification Methods: Effectiveness and Robustness in a Real Application Scenario -- 1 Introduction -- 2 Materials and Methods -- 2.1 Data Sets -- 2.2 Data Pre-processing -- 2.3 Methods -- 3 Experimental Evaluation -- 3.1 Experimental Setup -- 3.2 Experimental Results -- 4 Conclusions -- References -- Vision Transformers for Breast Cancer Histology Image Classification -- 1 Introduction -- 2 Background and Related Work -- 2.1 Deep Learning in Histopathology Images of Breast Cancer -- 2.2 Vision Transformers -- 2.3 BACH: Grand Challenge on Breast Cancer Histology Images -- 3 Methodology -- 4 Experimental Evaluation -- 5 Discussion and Conclusion -- References -- Editable Stain Transformation of Histological Images Using Unpaired GANs -- 1 Introduction -- 2 Related Work -- 2.1 Overview of xAI-CycleGAN -- 2.2 SeFa Algorithm for Editable Outputs -- 2.3 cCGAN for Stain Transformation -- 3 Methods -- 3.1 Dataset -- 3.2 Separating Structure from Style -- 3.3 Editable Generation Results Using SeFa -- 4 Results -- 5 Discussion -- 6 Future Work -- References -- Assessing the Robustness and Reproducibility of CT Radiomics Features in Non-small-cell Lung Carcinoma -- 1 Introduction -- 2 Materials and Methods -- 2.1 Dataset -- 2.2 Segmentation -- 2.3 Image Pre-processing and Feature Extraction -- 2.4 Statistical Analysis -- 2.5 Feature Reduction, Selection, and Machine Learning -- 3 Results -- 3.1 Statistical Analysis -- 3.2 Feature Reduction, Selection, and Machine Learning -- 4 Discussion and Conclusions -- References -- Prediction of High Pathological Grade in Prostate Cancer Patients Undergoing [18F]-PSMA PET/CT: A Preliminary Radiomics Study -- 1 Introduction -- 2 Materials and Methods.
2.1 PET/CT Imaging -- 2.2 Inclusion Criteria -- 2.3 The Gleason Score -- 2.4 Radiomics Analysis -- 3 Results -- 4 Discussions and Conclusion -- References -- MTANet: Multi-Type Attention Ensemble for Malaria Parasite Detection -- 1 Introduction -- 2 Related Work -- 3 Materials and Methods -- 3.1 Dataset -- 3.2 YOLO Detectors and YOLOv5 -- 3.3 Convolutional Block Attention Module (CBAM) -- 3.4 Our Proposed Method: MTANet -- 3.5 Metrics -- 4 Experimental Results and Discussion -- 4.1 Experimental Setup -- 4.2 Experimental Results -- 5 Conclusions -- References -- Breast Mass Detection and Classification Using Transfer Learning on OPTIMAM Dataset Through RadImageNet Weights -- 1 Introduction -- 2 Methods -- 2.1 Dataset -- 2.2 Proposed Method -- 2.3 YOLO -- 3 Results -- 3.1 Breast Mass Detection -- 3.2 Breast Mass Classification -- 4 Discussion -- 5 Conclusion -- References -- Prostate Cancer Detection: Performance of Radiomics Analysis in Multiparametric MRI -- 1 Introduction -- 2 Materials and Methods -- 2.1 Population -- 2.2 MRI Technique -- 2.3 Manual Segmentation -- 2.4 Radiomics Features Extraction -- 2.5 Computational and Statistical Analyses -- 3 Results -- 3.1 Population -- 3.2 Performance of Radiomics -- 4 Discussion -- 5 Conclusion -- References -- Grading and Staging of Bladder Tumors Using Radiomics Analysis in Magnetic Resonance Imaging -- 1 Introduction -- 2 Materials and Methods -- 2.1 Population -- 2.2 MRI Technique -- 2.3 Qualitative Imaging Analysis -- 2.4 Segmentation and Radiomics Features Extraction -- 2.5 Computational and Statistical Analyses -- 3 Results -- 3.1 Population -- 3.2 Performance of Radiomics -- 4 Discussion -- 5 Conclusion -- References -- Combined Data Augmentation for HEp-2 Cells Image Classification -- 1 Introduction -- 2 Materials and Method -- 2.1 Dataset -- 2.2 Basic Image Manipulation -- 2.3 CVAE. 2.4 Experimental Protocol -- 3 Results -- 4 Conclusions -- References -- Multi-modal Medical Imaging Processing (M3IP) -- Harnessing Multi-modality and Expert Knowledge for Adverse Events Prediction in Clinical Notes -- 1 Introduction -- 2 Adverse Events Prediction: Task Formulation -- 3 Data and Information Extraction -- 3.1 Features of Interest -- 3.2 Features Extraction from Structured Data -- 3.3 Features Extraction from Unstructured Data -- 3.4 Multi-modality: Early and Late Fusion -- 4 Training -- 4.1 Datasets and Metrics -- 4.2 Classification Suite -- 4.3 Imbalance Learning -- 5 Results -- 6 Conclusion and Future Work -- References -- A Multimodal Deep Learning Based Approach for Alzheimer's Disease Diagnosis -- 1 Introduction -- 2 Materials and Methods -- 2.1 The Population -- 2.2 Data Preprocessing -- 2.3 The Neural Network -- 2.4 The Proposed Multimodal Approach -- 3 Experimental Set-Up -- 4 Results -- 5 Conclusion -- References -- A Systematic Review of Multimodal Deep Learning Approaches for COVID-19 Diagnosis -- 1 Introduction -- 2 Existing Literature Reviews -- 3 Materials and Methods -- 3.1 Data Sources -- 3.2 Search Strategy and Related Articles -- 4 Results and Discussion -- 5 Conclusions -- References -- A Multi-dimensional Joint ICA Model with Gaussian Copula -- 1 Introduction -- 2 Dataset -- 3 Methods -- 3.1 Conventional Joint ICA -- 3.2 Joint ICA with Different Variances -- 3.3 Proposed Copula Joint ICA -- 4 Implementation -- 4.1 Simulation -- 5 Results -- 6 Conclusion -- References -- Federated Learning in Medical Imaging and Vision (FEDMED) -- Federated Learning for Data and Model Heterogeneity in Medical Imaging -- 1 Introduction -- 2 Related Work -- 2.1 Federated Learning -- 2.2 Model and Data Heterogeneity -- 3 Federated Learning with Heterogeneous Data and Models -- 3.1 Model Heterogeneity. 3.2 Data and Labels Heterogeneity -- 4 Experimental Results -- 4.1 Datasets and Models -- 4.2 Comparison with State-of-the-Art Methods -- 5 Conclusion -- References -- Experience Sharing and Human-in-the-Loop Optimization for Federated Robot Navigation Recommendation -- 1 Introduction -- 2 Learning from Experience -- 3 Recommendation as the Silver Bullet -- 4 Human-in-the-Loop Optimization -- 5 Security-Related Considerations -- 6 Conclusion -- References -- FeDETR: A Federated Approach for Stenosis Detection in Coronary Angiography -- 1 Introduction -- 2 Related Work -- 3 Method -- 3.1 Problem Formulation -- 4 Experimental Evaluation -- 4.1 Dataset -- 4.2 Training Procedure -- 4.3 Results -- 5 Conclusion -- References -- FeDZIO: Decentralized Federated Knowledge Distillation on Edge Devices -- 1 Introduction -- 2 Related Work -- 3 Method -- 4 Performance Evaluation -- 4.1 Dataset -- 4.2 Training Procedure -- 4.3 Experimental Results -- 5 Conclusions -- References -- A Federated Learning Framework for Stenosis Detection -- 1 Introduction -- 2 Material and Methods -- 2.1 Datasets -- 2.2 Experimental Protocol -- 3 Results and Discussion -- 4 Conclusion -- References -- Benchmarking Federated Learning Frameworks for Medical Imaging Tasks -- 1 Introduction -- 2 Related Works -- 3 Experiments -- 4 Results -- 5 Conclusions -- 6 Future Works -- References -- Artificial Intelligence for Digital Humanities (AI4DH) -- Examining the Robustness of an Ensemble Learning Model for Credibility Based Fake News Detection -- 1 Introduction -- 2 Related Works -- 2.1 The Liar Dataset -- 2.2 The FakeNewsNet Dataset -- 2.3 The Fake and Real News Dataset -- 2.4 Spawned Dataset -- 3 Methods -- 3.1 Two-Class Boosted Decision Tree (BDT) -- 3.2 Two Class Neural Network -- 3.3 Mixture of Experts -- 3.4 Two Class Logistic Regression -- 4 Experimental Results. 4.1 Experiments Where the Train and Test Set are the Same -- 4.2 Experiments Where the Train and Test Set are Different -- 5 Conclusion -- References -- Prompt Me a Dataset: An Investigation of Text-Image Prompting for Historical Image Dataset Creation Using Foundation Models -- 1 Introduction -- 2 Current State of the Research -- 3 Pipeline -- 4 Text-Image Prompt Evaluation -- 4.1 A Note on the Environment -- 5 Conclusion -- References -- Artificial Intelligence in Art Generation: An Open Issue -- 1 Introduction -- 2 State of the Art -- 3 The Experts' Point of View -- 3.1 The Philosopher's Point of View -- 3.2 The Art Historian's Point of View -- 3.3 The Computer Scientist's Point of View -- 4 Experimental Results -- 4.1 The Art Exhibition -- 4.2 Users' Feedbacks -- 5 Conclusions -- References -- A Deep Learning Approach for Painting Retrieval Based on Genre Similarity -- 1 Introduction -- 2 Methodology and Experiments -- 2.1 Convolutional Neural Network -- 2.2 Dataset -- 2.3 Nearest Neighbour Algorithm and Similarity Measure -- 2.4 Experiments -- 3 Results -- 3.1 Classifier Performance -- 3.2 Comparison of CBIR Performance Before and After Fine-Tuning with Specific Domain Knowledge -- 3.3 Parameters Optimization of the Approximate Nearest Neighbour Algorithm -- 3.4 Introducing SimArt: A Web Application for Efficiently Searching Similar Artworks -- 4 Discussion and Conclusions -- References -- GeomEthics: Ethical Considerations About Using Artificial Intelligence in Geomatics -- 1 Introduction -- 2 The Use of Artificial Intelligence in Geomatics -- 3 Ethics of Artificial Intelligence in Geomatics -- 3.1 Geospatial Data Fairness -- 3.2 Local Identity -- 3.3 Geo-Privacy -- 4 Conclusions and Future Works -- References -- Fine Art Pattern Extraction and Recognition (FAPER). Enhancing Preservation and Restoration of Open Reel Audio Tapes Through Computer Vision. |
| Record Nr. | UNISA-996587864003316 |
Foresti Gian Luca
|
||
| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Image Analysis and Processing - ICIAP 2023 Workshops [[electronic resource] ] : Udine, Italy, September 11–15, 2023, Proceedings, Part I / / edited by Gian Luca Foresti, Andrea Fusiello, Edwin Hancock
| Image Analysis and Processing - ICIAP 2023 Workshops [[electronic resource] ] : Udine, Italy, September 11–15, 2023, Proceedings, Part I / / edited by Gian Luca Foresti, Andrea Fusiello, Edwin Hancock |
| Autore | Foresti Gian Luca |
| Edizione | [1st ed. 2024.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 |
| Descrizione fisica | 1 online resource (519 pages) |
| Disciplina | 006.37 |
| Altri autori (Persone) |
FusielloAndrea
HancockEdwin |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
Computer vision
Computer engineering Computer networks Machine learning Education - Data processing Pattern recognition systems Computer Vision Computer Engineering and Networks Machine Learning Computers and Education Automated Pattern Recognition |
| ISBN | 3-031-51023-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Organization -- Contents - Part I -- Contents - Part II -- Industrial Poster Session -- Instance Segmentation Applied to Underground Infrastructures -- 1 Introduction -- 2 Pipes Recognition -- 2.1 Dataset Creation -- 2.2 Dataset Description -- 2.3 Deep Learning Architecture -- 2.4 Classification Overhead -- 3 Experiments -- 3.1 Training -- 3.2 Instance Segmentation Results -- 3.3 Classification Refinement Results -- 4 Conclusion -- References -- Generating Invariance-Based Adversarial Examples: Bringing Humans Back into the Loop -- 1 Introduction -- 2 Adversarial Examples -- 2.1 Sensitivity-Based Adversarial Examples -- 2.2 Invariance-Based Adversarial Examples -- 3 Human Perception -- 4 Experiments -- 4.1 Stimuli -- 4.2 Human Subjects -- 4.3 Eye Tracking Experimental Set-Up -- 4.4 Creation of Occlusion-Based Adversarial Examples -- 5 Results -- 6 Adaptive Approaches -- 7 Conclusion -- References -- MARS: Mask Attention Refinement with Sequential Quadtree Nodes for Car Damage Instance Segmentation -- 1 Introduction -- 2 Related Works -- 3 Proposed Method -- 4 Experiments -- 4.1 Experimental Setup -- 4.2 Comparison with SOTA -- 4.3 Implementation Details -- 5 Conclusions -- References -- On-Device Learning with Binary Neural Networks -- 1 Introduction -- 2 Related Literature -- 2.1 Continual Learning -- 2.2 Binary Neural Networks -- 3 On-Device CWR Optimization -- 3.1 Gradients Computation -- 3.2 Quantization Strategy -- 4 Experiments -- 5 Conclusion -- References -- Towards One-Shot PCB Component Detection with YOLO -- 1 Introduction -- 2 Background -- 3 Methodology -- 3.1 Dataset Generation -- 3.2 Improving YOLOv5 Architecture for Small Object Detection -- 3.3 Training Procedure and Evaluation Metrics -- 4 Experimental Results -- 4.1 Experiments with Original YOLOv5 -- 4.2 Experiments with Improved YOLOv5 -- 5 Conclusion.
References -- Wildfires Classification: A Comparative Study -- 1 Introduction -- 2 Datasets for Fire and Smoke Analysis -- 3 Fire Analysis Techniques -- 4 Wildfires Classification -- 4.1 Selected Deep Models -- 4.2 Wildfires Dataset -- 4.3 Deploying the Model on Embedded Systems -- 5 Experimental Results -- 5.1 Results on the FireNet Dataset -- 5.2 Results on Our Wildfires Dataset -- 6 Conclusions and Future Works -- References -- A General Purpose Method for Image Collection Summarization and Exploration -- 1 Introduction and Background -- 2 Proposed Method -- 2.1 Group Selection -- 2.2 Clustering of Pictures Within a Group -- 2.3 Best Picture Selection -- 3 Datasets -- 3.1 Automatic Triage for a Photo Series -- 3.2 Camera Scene Detection Dataset -- 4 Experimental Setup -- 4.1 Data Setup -- 4.2 Evaluation Metrics -- 4.3 Experimental Details -- 5 Results -- 5.1 Subjective Results -- 6 Conclusions -- References -- Automated Identification of Failure Cases in Organ at Risk Segmentation Using Distance Metrics: A Study on CT Data -- 1 Introduction -- 2 Methods and Materials -- 2.1 Dice and Hausdorff Distance Metrics -- 2.2 Dataset -- 2.3 Model Architecture -- 2.4 Experimental Setup -- 3 Results and Discussion -- 4 Conclusion -- References -- Digitizer: A Synthetic Dataset for Well-Log Analysis -- 1 Introduction -- 2 Generating Synthetic Well-Log Curves -- 3 Dataset Analysis -- 4 Conclusions -- References -- CNN-BLSTM Model for Arabic Text Recognition in Unconstrained Captured Identity Documents -- 1 Introduction -- 2 Related Works -- 3 Problem Statement -- 3.1 Identity Document Reading -- 3.2 Arabic Text Recognition -- 4 Proposed Method -- 4.1 Architecture Description -- 4.2 Training Parameters -- 4.3 Data Pre-processing -- 5 Experiments -- 5.1 Dataset -- 5.2 Evaluation Metrics -- 5.3 Model Training -- 5.4 Model Evaluation -- 6 Conclusion -- References. Advances in Gaze Analysis, Visual attention and Eye-gaze modelling (AGAVE) -- Detection and Localization of Changes in Immersive Virtual Reality -- 1 Introduction -- 2 Experiment and Computational Model -- 2.1 Task -- 2.2 Measures -- 2.3 Apparatus and Procedure -- 2.4 Participants -- 2.5 Computational Model -- 3 Results -- 3.1 Change Localization Experiment -- 3.2 The Proposed Model Accounts for the Patterns of Human Data -- 4 Discussion and Conclusion -- References -- Pain and Fear in the Eyes: Gaze Dynamics Predicts Social Anxiety from Fear Generalisation -- 1 Introduction -- 2 Background and Hypotheses -- 3 Method -- 3.1 Participants and Procedure -- 3.2 Proposed Model and Data Analyses -- 4 Results -- 5 Conclusions -- References -- Eye Gaze Analysis Towards an AI System for Dynamic Content Layout -- 1 Introduction -- 2 AI System -- 3 Experiment -- 3.1 Overview -- 3.2 Set-Up -- 3.3 Clips -- 3.4 Data Analysis -- 4 Results -- 4.1 Graphic Durations -- 4.2 Fixation Durations -- 4.3 Fixation Scores -- 4.4 Region of Interest Hypothesis -- 5 Discussion -- 5.1 Target 1 -- 5.2 Target 2 -- 5.3 Targets 3 and 4 -- 5.4 Target 5 -- 5.5 Target 6 -- 6 Conclusions -- References -- Beyond Vision: Physics Meets AI (BVPAI) -- A Variational AutoEncoder for Model Independent Searches of New Physics at LHC -- 1 Introduction -- 2 The Physics Use-Case: An Effective Field Theory Interpretation of Vector Boson Scattering -- 2.1 Same Sign WW Scattering -- 2.2 Modeling the Anomalies: The SM as an Effective Field Theory -- 3 Variational AutoEncoders -- 3.1 The VAE Architecture -- 3.2 Anomaly Detection with VAEs -- 4 Embedding a Classification Step in the Training to Optimize for Discrimination -- 4.1 Results -- 5 Conclusions and Future Perspectives -- References -- Adaptive Voronoi Binning in Muon Radiography for Detecting Subsurface Cavities. 1 Introduction to Muon Radiography -- 1.1 Cosmic Rays -- 1.2 Muon Radiography -- 2 The MIMA Detector and Its Application at the Temperino Mine -- 3 Adaptive Tessellation Through Voronoi Binning -- 4 Conclusion -- References -- Optimizing Deep Learning Models for Cell Recognition in Fluorescence Microscopy: The Impact of Loss Functions on Performance and Generalization -- 1 Introduction -- 2 Related Works -- 3 Methods -- 3.1 Model Training -- 4 Results -- 5 Discussion -- References -- A New IBA Imaging System for the Transportable MACHINA Accelerator -- 1 Introduction -- 2 Methods -- 3 Tests and Results -- 4 Conclusions -- References -- Abstracts Embeddings Evaluation: A Case Study of Artificial Intelligence and Medical Imaging for the COVID-19 Infection -- 1 Introduction -- 2 Related Works -- 3 Methodology -- 3.1 Dataset -- 3.2 Label Assignment -- 3.3 Models -- 3.4 Performance Metrics -- 4 Results and Discussions -- 5 Conclusions -- References -- Pigments and Brush Strokes: Investigating the Painting Techniques Using MA-XRF and Laser Profilometry -- 1 Introduction -- 2 Materials and Methods -- 3 Results and Discussion -- 4 Conclusions -- References -- Automatic Affect Analysis and Synthesis (3AS) -- Pain Classification and Intensity Estimation Through the Analysis of Facial Action Units -- 1 Introduction -- 2 Background and Rationales -- 3 Materials and Methods -- 3.1 Datasets -- 3.2 Methods -- 3.3 Results -- 4 Conclusion -- References -- Towards a Better Understanding of Human Emotions: Challenges of Dataset Labeling -- 1 Introduction -- 2 Related Work -- 3 Proposed Emotion Taxonomy -- 4 Experiments -- 4.1 Relabeling the AffectNet Dataset -- 4.2 Results -- 5 Conclusions -- References -- Video-Based Emotion Estimation Using Deep Neural Networks: A Comparative Study -- 1 Introduction -- 2 Related Work -- 3 The OMG-Emotion Dataset. 4 The Video Emotion Estimation Pipeline -- 4.1 Pre-processing -- 4.2 Backbone -- 4.3 Temporal Aggregation -- 4.4 Multi-layer Perceptron -- 4.5 Loss Functions -- 5 Experiments and Results -- 5.1 Ablation Analysis -- 5.2 Model Comparison -- 5.3 State-of-the-Art Comparison -- 6 Conclusions -- A Appendix -- References -- International Contest on Fire Detection (ONFIRE) -- ONFIRE Contest 2023: Real-Time Fire Detection on the Edge -- 1 Introduction -- 2 Related Works -- 3 Contest Dataset and Task -- 4 Evaluation Metrics -- 5 Conclusion -- References -- FIRESTART: Fire Ignition Recognition with Enhanced Smoothing Techniques and Real-Time Tracking -- 1 Introduction -- 2 Materials and Methods -- 2.1 Dataset -- 2.2 Convolutional Neural Networks -- 2.3 Vision Transformers -- 2.4 The Proposed Approach -- 2.5 Metrics -- 3 Experimental Results and Discussion -- 3.1 Experimental Setup -- 3.2 Experimental Results -- 4 Conclusions -- References -- Rapid Fire Detection with Early Exiting -- 1 Introduction -- 2 Related Works -- 2.1 Fire Detection -- 2.2 Advantages of Deep Learning -- 2.3 Early Exiting -- 3 Methodology -- 3.1 Dataset -- 3.2 Model Architectures -- 4 Preliminary Results -- 5 Conclusions -- References -- Recent Advances in Digital Security: Biometrics and Forensics (BIOFORM) -- Morphing-Attacks Against Binary Fingervein Templates -- 1 Introduction -- 2 Morphing of Binary Finger Vein Templates -- 3 Experimental Settings -- 3.1 Assessment Criteria -- 3.2 Data and Recognition Software -- 4 Experimental Results -- 4.1 Threat Evaluation -- 4.2 Detecting Morphed Templates -- 5 Conclusion and Future Work -- References -- A Robust Approach for Crop Misalignment Estimation in Single and Double JPEG Compressed Images -- 1 Introduction -- 2 Proposed Approach -- 3 Experimental Results -- 4 Conclusions -- References. Human-in-the-Loop Person Re-Identification as a Defence Against Adversarial Attacks. |
| Record Nr. | UNISA-996587863803316 |
|
Foresti Gian Luca
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| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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