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Advanced Concepts for Intelligent Vision Systems [[electronic resource] ] : 16th International Conference, ACIVS 2015, Catania, Italy, October 26-29, 2015. Proceedings / / edited by Sebastiano Battiato, Jacques Blanc-Talon, Giovanni Gallo, Wilfried Philips, Dan Popescu, Paul Scheunders
Advanced Concepts for Intelligent Vision Systems [[electronic resource] ] : 16th International Conference, ACIVS 2015, Catania, Italy, October 26-29, 2015. Proceedings / / edited by Sebastiano Battiato, Jacques Blanc-Talon, Giovanni Gallo, Wilfried Philips, Dan Popescu, Paul Scheunders
Edizione [1st ed. 2015.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015
Descrizione fisica 1 online resource (XXI, 897 p. 389 illus.)
Disciplina 004
Collana Image Processing, Computer Vision, Pattern Recognition, and Graphics
Soggetto topico Computer security
Data encryption (Computer science)
Coding theory
Information theory
E-commerce
Management information systems
Computer science
Computers and civilization
Systems and Data Security
Cryptology
Coding and Information Theory
e-Commerce/e-business
Management of Computing and Information Systems
Computers and Society
ISBN 3-319-25903-2
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Intro -- Preface -- About the Volume Editors -- Organization -- Contents -- Low-Level Image Processing -- BNRFBE Method for Blur Estimation in Document Images -- 1 Introduction -- 2 Blur Analysis -- 3 Blur Measuring -- 3.1 Principle of the Measurement -- 3.2 Text Blur Measurement -- 4 Experiments -- 4.1 Simulated Blur -- 4.2 Influence of Working Zone Z -- 4.3 Real Images -- 4.4 DIQA Database -- 5 Conclusion -- References -- Edge Width Estimation for Defocus Map from a Single Image -- 1 Introduction -- 2 Edge Width -- 2.1 Gaussian Edge Model -- 2.2 Estimation of Edge Width -- 2.3 The Edge Width Estimation Algorithm -- 3 Defocus Blur Estimation -- 3.1 Sparse Defocus Map -- 3.2 Full Defocus Map -- 4 Results and Discussion -- 4.1 Possible Improvement -- 5 Conclusion -- References -- RSD-DOG: A New Image Descriptor Based on Second Order Derivatives -- 1 Introduction -- 1.1 Related Work -- 2 Directional Filter -- 3 Ridge and Valley Detection Using Difference of Gaussian Filters -- 3.1 Difference of Half Smoothing Filters (DHSF) -- 3.2 Estimating the Direction of Second Order Statistics Such as Ridges and Valleys -- 4 Descriptor Construction -- 5 Experiments and Results -- 5.1 Dataset and Evaluation -- 5.2 Descriptor Performance -- 6 Conclusion -- References -- Ringing Artifact Suppression Using Sparse Representation -- 1 Introduction -- 2 Ringing Suppression -- 2.1 Problem Formulation -- 2.2 Joint Sparse Coding -- 2.3 Ringing Suppression Method -- 3 Evaluation -- 4 Conclusion -- References -- Patch-Based Mathematical Morphology for Image Processing, Segmentation and Classification -- 1 Introduction -- 2 Patch Complete Lattice Learning -- 2.1 Complete Lattice from Patches -- 2.2 Complete Lattice Learning -- 2.3 Patch-Based MM Operators -- 3 Applications -- 3.1 Color Image Processing -- 3.2 Color Image Segmentation.
3.3 Color Image Texture Classification -- 4 Conclusion -- References -- Time Ordering Shuffling for Improving Background Subtraction -- 1 Introduction -- 2 Time Shuffling Strategies -- 2.1 Principle -- 2.2 Random Time Shuffling Strategy -- 2.3 Deterministic Time Shuffling Strategies -- 2.4 Implementation of the Deterministic Strategies -- 3 Experiments and Results -- 3.1 Initialization -- 3.2 Dataset -- 3.3 Background Subtraction Algorithms -- 3.4 Results and Interpretation -- 4 Conclusions -- References -- Fast and Low Power Consumption Outliers Removal for Motion Vector Estimation -- 1 Introduction -- 2 Proposed Method -- 2.1 Pre-processing -- 2.2 Advanced Voting -- 2.3 Motion Estimation Model -- 3 Experimental Results -- 4 Computational Cost Comparison -- 5 Conclusion -- References -- Adaptive Scale Selection for Multiscale Image Denoising -- 1 Introduction -- 2 Motivation of the Work -- 2.1 Atomic Representation and Time-Scale Evolution -- 2.2 Rational Dilation Wavelet Transform -- 3 Scale Selection -- 3.1 Packets of Atoms -- 3.2 Scale Selection Algorithm -- 4 Adaptive RDWT -- 5 Preliminary Experimental Results -- 6 Conclusions -- References -- Secure Signal Processing Using Fully Homomorphic Encryption -- 1 Introduction -- 2 Related Work -- 3 Fully Homomorphic Encryption -- 4 Encrypted Natural Logarithm -- 5 Brightness/Contrast Filter Theory -- 6 Experimental Results -- 7 Conclusion -- References -- Video Processing and Camera Networks -- Towards a Bayesian Video Denoising Method -- 1 Introduction -- 2 Bayesian Video Denoising -- 2.1 A Nonlocal Bayesian Principle -- 2.2 Learning the a Priori Model -- 2.3 Description of the Algorithm -- 2.4 Computational Complexity -- 3 Results -- 4 Conclusions -- References -- Collaborative, Context Based Activity Control Method for Camera Networks -- 1 Introduction -- 2 Related Work.
3 The Implemented Algorithm -- 4 The Test Setup -- 5 Results and Discussion -- 6 Conclusions -- References -- EFIC: Edge Based Foreground Background Segmentation and Interior Classification for Dynamic Camera Viewpoints -- 1 Introduction -- 2 Edge Based Foreground Background Segmentation -- 2.1 Previous Work -- 2.2 Foreground Shape Correction -- 2.3 Ghost Removal -- 3 Camera Motion Detection -- 3.1 Optical Flow -- 3.2 Flow Based Camera Motion Detection -- 4 Camera Motion Compensation -- 4.1 Affine Image Transformation -- 4.2 Distinction Between Panning/Tilting and Jitter -- 4.3 Jitter Compensation -- 4.4 Panning/Tilting Compensation -- 5 Experiments -- 6 Conclusions -- References -- A Unified Camera Calibration from Arbitrary Parallelograms and Parallepipeds -- 1 Introduction -- 2 Preliminaries -- 2.1 Parallelogram Parameterization -- 3 Projections of Parallelograms -- 3.1 Canonic Homography -- 3.2 Measurement Matrix of Homographies -- 4 Parameter Estimation -- 4.1 Rescaling the Measurement Matrix -- 4.2 Factorization -- 4.3 Resolving Affine Ambiguity -- 4.4 Computing Camera Parameters -- 5 Merging Information from Parallelepipeds -- 6 Experimental Results -- 6.1 Simulated Experiment -- 6.2 Real Image Experiment -- 7 Conclusion -- References -- Motion Compensation Based on Robust Global Motion Estimation: Experiments and Applications -- 1 Introduction -- 2 Related Work -- 2.1 Problem Statement -- 2.2 Geometric Feature-Based Methods -- 2.3 Direct Methods -- 3 Proposed Method -- 3.1 Outlines of the Method -- 3.2 Detailed Method -- 3.3 A Hybrid Pyramidal Method Robust to Large Motion -- 3.4 Motion Estimation Robust to Occlusions and Moving Objects -- 4 Experimental Framework and Results -- 4.1 Problem Statement -- 4.2 Experiments -- 4.3 Criteria -- 4.4 Results -- 5 Applications -- 5.1 Stabilisation -- 5.2 Panorama Creation.
5.3 Moving Target Detection and Tracking -- 6 Conclusion and Future Work -- References -- Bayesian Fusion of Back Projected Probabilities (BFBP): Co-occurrence Descriptors for Tracking in Complex Environments -- 1 Introduction -- 2 Related Work -- 3 Probabilstic Color Co-occurrence Modeling -- 4 Bayesian Fusion of Multiple Co-occurrence Back Projections -- 5 Experimental Evaluations -- 6 Conclusion -- References -- Embedded System Implementation for Vehicle Around View Monitoring -- 1 Introduction -- 2 Surrounding Image Construction -- 2.1 Rectification -- 2.2 Bird's-Eye-View Transformation -- 2.3 Image Stitching -- 3 Embedded System Implementation -- 3.1 Hardware System Architecture -- 3.2 Performance Optimization -- 4 Experimental Results -- 4.1 Calibration Result -- 4.2 Result of Bird's-Eye-View Transformation -- 4.3 Obtaining 360 Surrounding View Image -- 4.4 Real-Time Stitching Performance and Precision -- 5 Conclusion -- References -- Motion and Tracking -- Cosine-Sine Modulated Filter Banks for Motion Estimation and Correction -- 1 Introduction -- 2 Cosine-Sine Modulated Filter Bank -- 3 Motion Estimation -- 3.1 The Error Function -- 3.2 Hierarchical Motion Estimation with CSMFB -- 4 Results -- 4.1 Motion Estimation -- 4.2 Motion Correction -- 4.3 Phase Shift Correction -- 4.4 Motion Correction in Magnetic Resonance Imaging -- 5 Conclusions -- Fast and Robust Variational Optical Flow for High-Resolution Images Using SLIC Superpixels -- 1 Introduction -- 2 Existing Work Using (Over)Segmentation -- 3 Existing Superpixel Methods -- 3.1 gSLIC Superpixels -- 3.2 (g)SLIC in Our Proposed Workflow -- 4 Variational Optical Flow on the Superpixel Grid -- 5 Experiments and Results -- 6 Conclusion -- 7 Future Work -- References -- Depth-Based Filtration for Tracking Boost -- 1 Introduction -- 2 Proposed Approach -- 2.1 Pixel Filtration.
2.2 Tracking Stage -- 2.3 Detection Stage -- 2.4 Occlusion Handling -- 2.5 Recenter and Resize -- 2.6 Learning Stage -- 3 Experimental Results -- 3.1 Success Rate -- 3.2 Precision -- 3.3 Efficiency -- 4 Conclusion -- Robust Fusion of Trackers Using Online Drift Prediction -- 1 Introduction -- 2 Related Work -- 3 Our Approach -- 3.1 Drift Predictor -- 3.2 Computation of the Fusion Bounding Box -- 3.3 Object Model Reinitialization or Update -- 4 Fusion Experiments and Results -- 4.1 Video Dataset -- 4.2 Evaluation Protocol -- 4.3 Implementation -- 4.4 Results -- 5 Conclusion -- References -- Bootstrapping Computer Vision and Sensor Fusion for Absolute and Relative Vehicle Positioning -- 1 Introduction -- 2 Fusion Approach -- 3 Visual Features -- 4 Improved GPS Method -- 5 Dynamic Map -- References -- Detection of Social Groups in Pedestrian Crowds Using Computer Vision -- 1 Introduction -- 2 Proposed Methodology -- 3 Bottom up Hierarchical Clustering -- 4 Experimental Results -- 5 Conclusions -- References -- Single Image Visual Obstacle Avoidance for Low Power Mobile Sensing -- 1 Introduction -- 2 Navigating Around Obstacles -- 2.1 Relative Focus Maps -- 2.2 Obstacle Avoidance -- 2.3 Implementation -- 3 Evaluation -- 4 Conclusions and Future Work -- References -- ROS-Based SLAM for a Gazebo-Simulated Mobile Robot in Image-Based 3D Model of Indoor Environment -- 1 Introduction -- 2 System Setup -- 2.1 Choice of a Robot for Simulation in Gazebo -- 2.2 PR-2 Robot Description and Simulation -- 2.3 AR-601M Robot Description and Simulation -- 3 Camera-Based 3D Model of Indoor Environment -- 3.1 Indoor Environment Shooting with Camera -- 3.2 Image-Based 3D Modeling of Indoor Environment -- 4 ROS-Based SLAM Using Gazebo in Image-Based 3D Model of Indoor Environment -- 4.1 Robot Simulation in Gazebo -- 4.2 ROS-Based SLAM Simulation in Gazebo -- References.
Security, Forensics and Biometrics.
Record Nr. UNISA-996466421203316
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Advanced Concepts for Intelligent Vision Systems : 16th International Conference, ACIVS 2015, Catania, Italy, October 26-29, 2015. Proceedings / / edited by Sebastiano Battiato, Jacques Blanc-Talon, Giovanni Gallo, Wilfried Philips, Dan Popescu, Paul Scheunders
Advanced Concepts for Intelligent Vision Systems : 16th International Conference, ACIVS 2015, Catania, Italy, October 26-29, 2015. Proceedings / / edited by Sebastiano Battiato, Jacques Blanc-Talon, Giovanni Gallo, Wilfried Philips, Dan Popescu, Paul Scheunders
Edizione [1st ed. 2015.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015
Descrizione fisica 1 online resource (XXI, 897 p. 389 illus.)
Disciplina 004
Collana Image Processing, Computer Vision, Pattern Recognition, and Graphics
Soggetto topico Computer security
Data encryption (Computer science)
Coding theory
Information theory
Electronic commerce
Management information systems
Computer science
Computers and civilization
Systems and Data Security
Cryptology
Coding and Information Theory
e-Commerce/e-business
Management of Computing and Information Systems
Computers and Society
ISBN 3-319-25903-2
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Intro -- Preface -- About the Volume Editors -- Organization -- Contents -- Low-Level Image Processing -- BNRFBE Method for Blur Estimation in Document Images -- 1 Introduction -- 2 Blur Analysis -- 3 Blur Measuring -- 3.1 Principle of the Measurement -- 3.2 Text Blur Measurement -- 4 Experiments -- 4.1 Simulated Blur -- 4.2 Influence of Working Zone Z -- 4.3 Real Images -- 4.4 DIQA Database -- 5 Conclusion -- References -- Edge Width Estimation for Defocus Map from a Single Image -- 1 Introduction -- 2 Edge Width -- 2.1 Gaussian Edge Model -- 2.2 Estimation of Edge Width -- 2.3 The Edge Width Estimation Algorithm -- 3 Defocus Blur Estimation -- 3.1 Sparse Defocus Map -- 3.2 Full Defocus Map -- 4 Results and Discussion -- 4.1 Possible Improvement -- 5 Conclusion -- References -- RSD-DOG: A New Image Descriptor Based on Second Order Derivatives -- 1 Introduction -- 1.1 Related Work -- 2 Directional Filter -- 3 Ridge and Valley Detection Using Difference of Gaussian Filters -- 3.1 Difference of Half Smoothing Filters (DHSF) -- 3.2 Estimating the Direction of Second Order Statistics Such as Ridges and Valleys -- 4 Descriptor Construction -- 5 Experiments and Results -- 5.1 Dataset and Evaluation -- 5.2 Descriptor Performance -- 6 Conclusion -- References -- Ringing Artifact Suppression Using Sparse Representation -- 1 Introduction -- 2 Ringing Suppression -- 2.1 Problem Formulation -- 2.2 Joint Sparse Coding -- 2.3 Ringing Suppression Method -- 3 Evaluation -- 4 Conclusion -- References -- Patch-Based Mathematical Morphology for Image Processing, Segmentation and Classification -- 1 Introduction -- 2 Patch Complete Lattice Learning -- 2.1 Complete Lattice from Patches -- 2.2 Complete Lattice Learning -- 2.3 Patch-Based MM Operators -- 3 Applications -- 3.1 Color Image Processing -- 3.2 Color Image Segmentation.
3.3 Color Image Texture Classification -- 4 Conclusion -- References -- Time Ordering Shuffling for Improving Background Subtraction -- 1 Introduction -- 2 Time Shuffling Strategies -- 2.1 Principle -- 2.2 Random Time Shuffling Strategy -- 2.3 Deterministic Time Shuffling Strategies -- 2.4 Implementation of the Deterministic Strategies -- 3 Experiments and Results -- 3.1 Initialization -- 3.2 Dataset -- 3.3 Background Subtraction Algorithms -- 3.4 Results and Interpretation -- 4 Conclusions -- References -- Fast and Low Power Consumption Outliers Removal for Motion Vector Estimation -- 1 Introduction -- 2 Proposed Method -- 2.1 Pre-processing -- 2.2 Advanced Voting -- 2.3 Motion Estimation Model -- 3 Experimental Results -- 4 Computational Cost Comparison -- 5 Conclusion -- References -- Adaptive Scale Selection for Multiscale Image Denoising -- 1 Introduction -- 2 Motivation of the Work -- 2.1 Atomic Representation and Time-Scale Evolution -- 2.2 Rational Dilation Wavelet Transform -- 3 Scale Selection -- 3.1 Packets of Atoms -- 3.2 Scale Selection Algorithm -- 4 Adaptive RDWT -- 5 Preliminary Experimental Results -- 6 Conclusions -- References -- Secure Signal Processing Using Fully Homomorphic Encryption -- 1 Introduction -- 2 Related Work -- 3 Fully Homomorphic Encryption -- 4 Encrypted Natural Logarithm -- 5 Brightness/Contrast Filter Theory -- 6 Experimental Results -- 7 Conclusion -- References -- Video Processing and Camera Networks -- Towards a Bayesian Video Denoising Method -- 1 Introduction -- 2 Bayesian Video Denoising -- 2.1 A Nonlocal Bayesian Principle -- 2.2 Learning the a Priori Model -- 2.3 Description of the Algorithm -- 2.4 Computational Complexity -- 3 Results -- 4 Conclusions -- References -- Collaborative, Context Based Activity Control Method for Camera Networks -- 1 Introduction -- 2 Related Work.
3 The Implemented Algorithm -- 4 The Test Setup -- 5 Results and Discussion -- 6 Conclusions -- References -- EFIC: Edge Based Foreground Background Segmentation and Interior Classification for Dynamic Camera Viewpoints -- 1 Introduction -- 2 Edge Based Foreground Background Segmentation -- 2.1 Previous Work -- 2.2 Foreground Shape Correction -- 2.3 Ghost Removal -- 3 Camera Motion Detection -- 3.1 Optical Flow -- 3.2 Flow Based Camera Motion Detection -- 4 Camera Motion Compensation -- 4.1 Affine Image Transformation -- 4.2 Distinction Between Panning/Tilting and Jitter -- 4.3 Jitter Compensation -- 4.4 Panning/Tilting Compensation -- 5 Experiments -- 6 Conclusions -- References -- A Unified Camera Calibration from Arbitrary Parallelograms and Parallepipeds -- 1 Introduction -- 2 Preliminaries -- 2.1 Parallelogram Parameterization -- 3 Projections of Parallelograms -- 3.1 Canonic Homography -- 3.2 Measurement Matrix of Homographies -- 4 Parameter Estimation -- 4.1 Rescaling the Measurement Matrix -- 4.2 Factorization -- 4.3 Resolving Affine Ambiguity -- 4.4 Computing Camera Parameters -- 5 Merging Information from Parallelepipeds -- 6 Experimental Results -- 6.1 Simulated Experiment -- 6.2 Real Image Experiment -- 7 Conclusion -- References -- Motion Compensation Based on Robust Global Motion Estimation: Experiments and Applications -- 1 Introduction -- 2 Related Work -- 2.1 Problem Statement -- 2.2 Geometric Feature-Based Methods -- 2.3 Direct Methods -- 3 Proposed Method -- 3.1 Outlines of the Method -- 3.2 Detailed Method -- 3.3 A Hybrid Pyramidal Method Robust to Large Motion -- 3.4 Motion Estimation Robust to Occlusions and Moving Objects -- 4 Experimental Framework and Results -- 4.1 Problem Statement -- 4.2 Experiments -- 4.3 Criteria -- 4.4 Results -- 5 Applications -- 5.1 Stabilisation -- 5.2 Panorama Creation.
5.3 Moving Target Detection and Tracking -- 6 Conclusion and Future Work -- References -- Bayesian Fusion of Back Projected Probabilities (BFBP): Co-occurrence Descriptors for Tracking in Complex Environments -- 1 Introduction -- 2 Related Work -- 3 Probabilstic Color Co-occurrence Modeling -- 4 Bayesian Fusion of Multiple Co-occurrence Back Projections -- 5 Experimental Evaluations -- 6 Conclusion -- References -- Embedded System Implementation for Vehicle Around View Monitoring -- 1 Introduction -- 2 Surrounding Image Construction -- 2.1 Rectification -- 2.2 Bird's-Eye-View Transformation -- 2.3 Image Stitching -- 3 Embedded System Implementation -- 3.1 Hardware System Architecture -- 3.2 Performance Optimization -- 4 Experimental Results -- 4.1 Calibration Result -- 4.2 Result of Bird's-Eye-View Transformation -- 4.3 Obtaining 360 Surrounding View Image -- 4.4 Real-Time Stitching Performance and Precision -- 5 Conclusion -- References -- Motion and Tracking -- Cosine-Sine Modulated Filter Banks for Motion Estimation and Correction -- 1 Introduction -- 2 Cosine-Sine Modulated Filter Bank -- 3 Motion Estimation -- 3.1 The Error Function -- 3.2 Hierarchical Motion Estimation with CSMFB -- 4 Results -- 4.1 Motion Estimation -- 4.2 Motion Correction -- 4.3 Phase Shift Correction -- 4.4 Motion Correction in Magnetic Resonance Imaging -- 5 Conclusions -- Fast and Robust Variational Optical Flow for High-Resolution Images Using SLIC Superpixels -- 1 Introduction -- 2 Existing Work Using (Over)Segmentation -- 3 Existing Superpixel Methods -- 3.1 gSLIC Superpixels -- 3.2 (g)SLIC in Our Proposed Workflow -- 4 Variational Optical Flow on the Superpixel Grid -- 5 Experiments and Results -- 6 Conclusion -- 7 Future Work -- References -- Depth-Based Filtration for Tracking Boost -- 1 Introduction -- 2 Proposed Approach -- 2.1 Pixel Filtration.
2.2 Tracking Stage -- 2.3 Detection Stage -- 2.4 Occlusion Handling -- 2.5 Recenter and Resize -- 2.6 Learning Stage -- 3 Experimental Results -- 3.1 Success Rate -- 3.2 Precision -- 3.3 Efficiency -- 4 Conclusion -- Robust Fusion of Trackers Using Online Drift Prediction -- 1 Introduction -- 2 Related Work -- 3 Our Approach -- 3.1 Drift Predictor -- 3.2 Computation of the Fusion Bounding Box -- 3.3 Object Model Reinitialization or Update -- 4 Fusion Experiments and Results -- 4.1 Video Dataset -- 4.2 Evaluation Protocol -- 4.3 Implementation -- 4.4 Results -- 5 Conclusion -- References -- Bootstrapping Computer Vision and Sensor Fusion for Absolute and Relative Vehicle Positioning -- 1 Introduction -- 2 Fusion Approach -- 3 Visual Features -- 4 Improved GPS Method -- 5 Dynamic Map -- References -- Detection of Social Groups in Pedestrian Crowds Using Computer Vision -- 1 Introduction -- 2 Proposed Methodology -- 3 Bottom up Hierarchical Clustering -- 4 Experimental Results -- 5 Conclusions -- References -- Single Image Visual Obstacle Avoidance for Low Power Mobile Sensing -- 1 Introduction -- 2 Navigating Around Obstacles -- 2.1 Relative Focus Maps -- 2.2 Obstacle Avoidance -- 2.3 Implementation -- 3 Evaluation -- 4 Conclusions and Future Work -- References -- ROS-Based SLAM for a Gazebo-Simulated Mobile Robot in Image-Based 3D Model of Indoor Environment -- 1 Introduction -- 2 System Setup -- 2.1 Choice of a Robot for Simulation in Gazebo -- 2.2 PR-2 Robot Description and Simulation -- 2.3 AR-601M Robot Description and Simulation -- 3 Camera-Based 3D Model of Indoor Environment -- 3.1 Indoor Environment Shooting with Camera -- 3.2 Image-Based 3D Modeling of Indoor Environment -- 4 ROS-Based SLAM Using Gazebo in Image-Based 3D Model of Indoor Environment -- 4.1 Robot Simulation in Gazebo -- 4.2 ROS-Based SLAM Simulation in Gazebo -- References.
Security, Forensics and Biometrics.
Record Nr. UNINA-9910484986803321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Advanced topics in computer vision / / Giovanni Maria Farinella, Sebastiano Battiato, Roberto Cipolla, editors
Advanced topics in computer vision / / Giovanni Maria Farinella, Sebastiano Battiato, Roberto Cipolla, editors
Edizione [1st ed. 2013.]
Pubbl/distr/stampa London : , : Springer, , 2013
Descrizione fisica 1 online resource (xiv, 433 pages) : illustrations (some color)
Disciplina 006.42
Collana Advances in Computer Vision and Pattern Recognition
Soggetto topico Computer vision
ISBN 1-4471-5520-3
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Visual Features: From Early Concepts to Modern Computer Vision -- Where Next in Object Recognition and How Much Supervision Do We Need? -- Recognizing Human Actions by Using Effective Codebooks and Tracking -- Evaluating and Extending Trajectory Features for Activity Recognition -- Co-Recognition of Images and Videos: Unsupervised Matching of Identical Object Patterns and its Applications -- Stereo Matching: State-of-the-Art and Research Challenges -- Visual Localization for Micro Aerial Vehicles in Urban Outdoor Environments -- Moment Constraints in Convex Optimization for Segmentation and Tracking -- Large Scale Metric Learning for Distance-Based Image Classification on Open Ended Data Sets -- Top-Down Bayesian Inference of Indoor Scenes -- Efficient Loopy Belief Propagation Using the Four Color Theorem -- Boosting k-Nearest Neighbors Classification -- Learning Object Detectors in Stationary Environments -- Video Temporal Super-Resolution Based on Self-Similarity.
Record Nr. UNINA-9910437597203321
London : , : Springer, , 2013
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Computer Vision, Imaging and Computer Graphics - Theory and Applications : International Joint Conference, VISIGRAPP 2014, Lisbon, Portugal, January 5-8, 2014, Revised Selected Papers / / edited by Sebastiano Battiato, Sabine Coquillart, Julien Pettré, Robert S. Laramee, Andreas Kerren, José Braz
Computer Vision, Imaging and Computer Graphics - Theory and Applications : International Joint Conference, VISIGRAPP 2014, Lisbon, Portugal, January 5-8, 2014, Revised Selected Papers / / edited by Sebastiano Battiato, Sabine Coquillart, Julien Pettré, Robert S. Laramee, Andreas Kerren, José Braz
Edizione [1st ed. 2015.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015
Descrizione fisica 1 online resource (XXII, 301 p. 144 illus. in color.)
Disciplina 006.6
Collana Communications in Computer and Information Science
Soggetto topico Computer graphics
Optical data processing
Artificial intelligence
Pattern perception
Data mining
Computer Graphics
Image Processing and Computer Vision
Artificial Intelligence
Pattern Recognition
Data Mining and Knowledge Discovery
ISBN 3-319-25117-1
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Computer graphics theory and applications -- Information visualization – theory and applications -- Computer vision theory and applications.
Record Nr. UNINA-9910298964203321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Computer Vision, Imaging and Computer Graphics Theory and Applications : 11th International Joint Conference, VISIGRAPP 2016, Rome, Italy, February 27 – 29, 2016, Revised Selected Papers / / edited by José Braz, Nadia Magnenat-Thalmann, Paul Richard, Lars Linsen, Alexandru Telea, Sebastiano Battiato, Francisco Imai
Computer Vision, Imaging and Computer Graphics Theory and Applications : 11th International Joint Conference, VISIGRAPP 2016, Rome, Italy, February 27 – 29, 2016, Revised Selected Papers / / edited by José Braz, Nadia Magnenat-Thalmann, Paul Richard, Lars Linsen, Alexandru Telea, Sebastiano Battiato, Francisco Imai
Edizione [1st ed. 2017.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017
Descrizione fisica 1 online resource (XXI, 608 p. 319 illus.)
Disciplina 006.37
Collana Communications in Computer and Information Science
Soggetto topico Optical data processing
Artificial intelligence
Computer graphics
Data mining
Image Processing and Computer Vision
Artificial Intelligence
Computer Graphics
Data Mining and Knowledge Discovery
ISBN 3-319-64870-5
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Computer graphics theory and applications -- Information visualization theory and applications -- Computer vision theory and applications.
Record Nr. UNINA-9910254832403321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Computer Vision, Imaging and Computer Graphics Theory and Applications : 10th International Joint Conference, VISIGRAPP 2015, Berlin, Germany, March 11-14, 2015, Revised Selected Papers / / edited by José Braz, Julien Pettré, Paul Richard, Andreas Kerren, Lars Linsen, Sebastiano Battiato, Francisco Imai
Computer Vision, Imaging and Computer Graphics Theory and Applications : 10th International Joint Conference, VISIGRAPP 2015, Berlin, Germany, March 11-14, 2015, Revised Selected Papers / / edited by José Braz, Julien Pettré, Paul Richard, Andreas Kerren, Lars Linsen, Sebastiano Battiato, Francisco Imai
Edizione [1st ed. 2016.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016
Descrizione fisica 1 online resource (XXIII, 474 p. 255 illus. in color.)
Disciplina 006.37
Collana Communications in Computer and Information Science
Soggetto topico Computer graphics
Optical data processing
Artificial intelligence
Pattern perception
Data mining
Computer Graphics
Image Processing and Computer Vision
Artificial Intelligence
Pattern Recognition
Data Mining and Knowledge Discovery
ISBN 3-319-29971-9
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto First-person Palm Pose Tracking and Gesture Recognition in Augmented Reality -- Computer Graphics Theory and Applications A Sketch-based Interface for 2D Illustration of Vascular Structures, Diseases, and Treatment Options with Real-time Blood Flow -- GPU Accelerated Computation of Geometric Descriptors in Parametric Space -- Interference Shader for Multilayer Films -- Enhancement of Direct Augmented Reality Object Selection by Gravity-adapted Target Resizing -- Information Visualization Theory and Applications. A Linear Time Algorithm for Embedding Arbitrary Knotted Graphs into a 3-Page Book -- Leaf Glyphs: Story Telling and Data Analysis using Environmental Data Glyph Metaphors -- Compression and Heuristic Caching for GPU Particle Tracing in Turbulent Vector Fields.-Choosing Visualization Techniques for Multidimensional Data Projection Tasks: A Guideline with Examples -- Computer Vision Theory and Applications. A Hybrid Approach for Individual and Group Activity Analysis in Crowded Scene -- Fusing Intertial Data with Vision for Enhanced Image Understanding -- Multiple View 3D Reconstruction with Rolling Shutter Cameras -- Fully-automatic Target Detection and Tracking for Real-time, Airborne Imaging Applications -- A Generalized Structure from Motion Framework for Central Projection Cameras -- TVL1 Planarity Regularization for 3D Shape Approximation -- Traffic Sign Recognition using Visual Attributes and Bayesian Network -- Novel Methods for Estimating Surface Normals from Afine Transformations -- Semi-automatic Hand Annotation of Egocentric Recordings -- Pedestrian Detection and Tracking in Challenging Surveillance Videos -- Algorithmic Optimizations in the HMAX Model Targeted for Efficient Object Recognition -- Estimating Visual Motion using an Event-based Artificial Retina -- CURFIL: A GPU Library for Image Labeling with Random Forests -- C-EFIC: Color and Edge based Foreground Background Segmentation with Interior Classification -- Choosing the Best Embedded Processing Platform for On-board UAV Image Processing.
Record Nr. UNINA-9910254985203321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Computer Vision, Imaging and Computer Graphics: Theory and Applications : International Joint Conference, VISIGRAPP 2013, Barcelona, Spain, February 21-24, 2013, Revised Selected Papers / / edited by Sebastiano Battiato, Sabine Coquillart, Robert S. Laramee, Andreas Kerren, José Braz
Computer Vision, Imaging and Computer Graphics: Theory and Applications : International Joint Conference, VISIGRAPP 2013, Barcelona, Spain, February 21-24, 2013, Revised Selected Papers / / edited by Sebastiano Battiato, Sabine Coquillart, Robert S. Laramee, Andreas Kerren, José Braz
Edizione [1st ed. 2014.]
Pubbl/distr/stampa Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2014
Descrizione fisica 1 online resource (XVI, 245 p. 135 illus.)
Disciplina 006.37
Collana Communications in Computer and Information Science
Soggetto topico Computer science
Computer graphics
Optical data processing
Computer Science, general
Computer Graphics
Image Processing and Computer Vision
ISBN 9783662449110
3662449110
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Intro -- Preface -- Organization -- Contents -- Computer Graphics Theory and Applications -- Real-Time Lattice Boltzmann Shallow Waters Method for Breaking Wave Simulations -- 1 Introduction -- 1.1 Related Work -- 2 Methodology -- 2.1 Lattice Boltzmann Shallow Waters -- 2.2 Dry-Wet Region Tracking -- 2.3 Two-Way Coupling of Dynamic Rigid Bodies -- 2.4 Coupling of Particle Systems -- 3 Implementation Details -- 4 Results and Discussion -- References -- Asymmetry Patterns Shape Contexts to Describe the 3D Geometry of Craniofacial Landmarks -- 1 Introduction -- 2 Asymmetry Patterns Shape Contexts -- 2.1 3D Shape Contexts -- 2.2 Rotational Symmetry -- 2.3 Asymmetry Patterns -- 2.4 Spatial Relationships -- 3 Experimental Evaluation -- 3.1 Craniofacial Landmarks -- 3.2 Accuracy -- 3.3 Implementation and Complexity -- 4 Discussion -- 5 Conclusions -- References -- Quasi-Delaunay Triangulations Using GPU-Based Edge-Flips -- 1 Introduction -- 2 Related Work -- 3 Data Structures -- 4 Algorithm Overview -- 4.1 Detection, Exclusion and Processing -- 4.2 Repair -- 4.3 Handling Problematic and Worst Cases -- 5 Implementation Details -- 6 Experimental Results -- 6.1 Full Random 2D Triangulations -- 6.2 Noise 2D Triangulations -- 6.3 3D Surface Triangulations -- 7 Discussion and Conclusions -- References -- Data-Aware Picking for Medical Models -- 1 Introduction -- 2 Related Work -- 3 DAAPMed Metaphor -- 3.1 Data Aware 3D Selection Metaphor -- 3.2 Implementation Details -- 4 Evaluation and Results -- 4.1 Design Details of the Clipping Plane Technique in Virtual Reality -- 4.2 Test Design -- 4.3 Statistical Results -- 4.4 Post-questionnaire Results -- 5 Picking Optimizations -- 5.1 Shake Filtering -- 5.2 Extending the Selection Candidates Using VML -- 6 Conclusions -- References -- Information Visualization Theory and Applications.
An Interactive Visualization for Tabbed Browsing Behavior Analysis -- 1 Introduction -- 2 Related Research -- 3 Requirement Analysis -- 4 WebComets -- 4.1 Design -- 4.2 Interaction -- 5 Use Case Scenario -- 6 Evaluation -- 7 Conclusions -- References -- The Landscape Metaphor for Visualization of Molecular Similarities -- 1 Introduction -- 2 Related Work -- 3 Compound Libraries and Clustered Graphs -- 3.1 Molecular Similarity Graph -- 3.2 Scaffold-Based Cluster Hierarchy -- 4 Edge-Aware Drawing of Clustered Graphs -- 4.1 Extending the Input Hierarchy -- 4.2 Edge-Aware Polygon Partitioning -- 5 Results and Application -- 5.1 Evaluation of Edge Length -- 5.2 Representation of Chemical Information -- 6 Conclusions and Outlook -- References -- Computer Vision Theory and Applications -- Facial Landmarks Localization Estimation by Cascaded Boosted Regression -- 1 Introduction -- 2 Related Work -- 3 Landmark Position Estimation by Cascaded Boosted Regression -- 3.1 The First Level Regressor -- 3.2 Next Regression Levels -- 3.3 Other Weak Regressors -- 3.4 Parameters Settings -- 4 Evaluation of Performance -- 4.1 Evaluation Methodology -- 4.2 Results -- 5 Evaluation of Temporal Stability -- 5.1 Motivation -- 5.2 Results -- 6 Conclusions -- References -- A Video Retargeting Technique for RGB-D Camera -- 1 Introduction -- 2 Related Works -- 3 The Proposed Approach -- 3.1 Important Map -- 3.2 Image Retargeting -- 4 Results -- 5 Conclusions -- References -- A Robust Least Squares Solution to the Calibrated Two-View Geometry with Two Known Orientation Angles -- 1 Introduction -- 2 Problem Statement -- 3 Previous Work -- 3.1 Kalantari et al.'s Solution cc -- 3.2 Fraundorfer et al.'s Solution cc -- 4 Proposed Solution -- 4.1 3-Point Algorithm for the Minimal Case -- 4.2 4-Point Algorithm for the Least Squares Case -- 5 Experiments -- 5.1 Synthetic Data.
5.2 Estimation Error for the Minimal Case -- 5.3 Estimation Error for the Least Squares Case -- 5.4 Estimation Error for the Number of Point Correspondences -- 5.5 Computation Time -- 6 Conclusions -- References -- Robust Iris Localisation in Challenging Scenarios -- 1 Introduction -- 2 Related Work -- 3 Joint Detection of Iris Centre and Limbic Contour -- 3.1 Algorithm Overview -- 3.2 Iris Centre Detection -- 3.3 Limbic Contour Detection -- 3.4 Best Pair Centre/Contour -- 3.5 Pupillary Contour Detection -- 4 Results -- 4.1 Tested Dataset -- 4.2 Iris Centre Candidate Detection -- 4.3 Best Centre/Contour Pair Discrimination -- 4.4 Limbic Contour Segmentation Errors -- 5 Conclusions -- References -- Xtru3D: Single-View 3D Object Reconstruction from Color and Depth Data -- 1 Introduction -- 2 Global Overview -- 3 Computation of the Initial Volume -- 3.1 Cluster Extraction -- 3.2 Voxel Filling by Extrusion -- 3.3 Consistency Check -- 4 Color-Based Model Refinement -- 4.1 Improvement of the Object Segmentation -- 4.2 Hole Filling Through Depth Inpainting -- 5 Experiments -- 5.1 Evaluation of the Accuracy of the Reconstructed Mesh -- 5.2 Model Reconstruction Results -- 5.3 Application to Grasping -- 6 Discussion and Future Work -- References -- Facial Landmark Localization and Feature Extraction for Therapeutic Face Exercise Classification -- 1 Introduction -- 2 Related Work -- 3 Method -- 3.1 Curvature Analysis -- 3.2 Extraction of Curvature Information -- 3.3 Extraction of Line Profiles -- 3.4 Extraction of Point Signatures -- 3.5 Automation of the Feature Extraction Process -- 4 Experiments -- 4.1 Exercises and Dataset -- 4.2 Evaluation of the Discriminative Power -- 4.3 Evaluation of the Automated Landmark Localization -- 4.4 Evaluation of Feature Extraction from Automatically Determined Regions -- 5 Summary and Discussion -- References.
A Curious Vision System for Autonomous and Cumulative Object Learning -- 1 Introduction -- 2 Object Learning -- 2.1 Stereo Segmentation and Tracking of the Object -- 2.2 Learning Object Models -- 2.3 Feature Dictionary -- 2.4 Recognition -- 3 Attention Mechanism -- 3.1 Bottom-Up Saliency at Interest Points -- 3.2 Attention Based on Learning Progress -- 3.3 Top-Down Rejection of Familiar Objects -- 3.4 Top-Down Rejection of Recently Visited Locations -- 4 Self-correction Mechanism -- 4.1 Merging Technique -- 4.2 Splitting Technique -- 5 Experiments and Results -- 5.1 Experimental Setup -- 5.2 Evaluation Method -- 5.3 Two Experimental Scenarios -- 5.4 Results -- 6 Conclusions -- References -- Single Camera Hand Pose Estimation from Bottom-Up and Top-Down Processes -- 1 Introduction -- 2 Related Work -- 3 Algorithm -- 3.1 General Approach -- 3.2 Training Images Generation -- 3.3 Segmentation and Localization -- 3.4 Pose Estimation -- 4 Results -- 4.1 Top-Down vs Bottom-up -- 4.2 Pose Estimation -- 5 Conclusions -- References -- Shape from Motion Blur Caused by Random Camera Rotations Imitating Fixational Eye Movements -- 1 Introduction -- 2 Motion Blur Caused by Random Camera Rotations -- 2.1 Camera Motions Imitating Tremor -- 2.2 Relation Between Motion Blur and Depth -- 3 Algorithms for Depth Recovery -- 3.1 Principle of Proposed Algorithms -- 3.2 Two-Step Method -- 3.3 Direct Method -- 4 Numerical Evaluation -- 5 Discussions -- 5.1 Parameter Determination -- 5.2 Advantages Over Depth-from-Focus -- 6 Conclusions -- References -- Author Index.
Record Nr. UNINA-9910298988403321
Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2014
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Image Analysis and Processing - ICIAP 2017 [[electronic resource] ] : 19th International Conference, Catania, Italy, September 11-15, 2017, Proceedings, Part II / / edited by Sebastiano Battiato, Giovanni Gallo, Raimondo Schettini, Filippo Stanco
Image Analysis and Processing - ICIAP 2017 [[electronic resource] ] : 19th International Conference, Catania, Italy, September 11-15, 2017, Proceedings, Part II / / edited by Sebastiano Battiato, Giovanni Gallo, Raimondo Schettini, Filippo Stanco
Edizione [1st ed. 2017.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017
Descrizione fisica 1 online resource (XXVIII, 795 p. 352 illus.)
Disciplina 621.367
Collana Image Processing, Computer Vision, Pattern Recognition, and Graphics
Soggetto topico Optical data processing
Artificial intelligence
Pattern recognition
User interfaces (Computer systems)
Data mining
Computer communication systems
Image Processing and Computer Vision
Artificial Intelligence
Pattern Recognition
User Interfaces and Human Computer Interaction
Data Mining and Knowledge Discovery
Computer Communication Networks
ISBN 3-319-68548-1
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Intro -- Preface -- Organization -- Contents - Part II -- Contents - Part I -- Image Analysis, Detection and Recognition -- 3D Face Recognition in Continuous Spaces -- 1 Introduction -- 2 Detection of Characteristic Points in 3D Faces -- 3 Alignment of Two Faces -- 4 Functional Representation -- 5 Experimental Results -- 6 Discussion and Conclusions -- References -- Object Detection for Crime Scene Evidence Analysis Using Deep Learning -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 Background of Faster-RCNN -- 3.2 VGG-16 Network -- 3.3 Object Detection -- 4 Experiments and Results -- 4.1 Datasets -- 4.2 Experimental Setup -- 4.3 Detection Accuracy -- 4.4 Detection Time -- 4.5 Experiments on the Karina Dataset -- 4.6 Discussion -- 5 Conclusion -- References -- Person Re-Identification Using Partial Least Squares Appearance Modelling -- 1 Introduction -- 2 Method -- 2.1 Partial Least Squares Foreground Appearance Modelling -- 2.2 Foreground Feature Extraction and Feature Weighting -- 2.3 Distance Metric Learning -- 3 Results and Discussion -- 4 Conclusions -- References -- Gender and Expression Analysis Based on Semantic Face Segmentation -- 1 Introduction -- 2 Related Works -- 3 The Face Segmentation Algorithm -- 3.1 Feature Extraction -- 3.2 Classification -- 4 The Proposed Gender and Expression Classification Algorithms -- 4.1 Gender Classification -- 4.2 Expression Classification -- 5 Experimental Setup -- 5.1 Gender and Expression Classification -- 6 Discussion of Results -- 6.1 Gender Recognition -- 6.2 Expression Recognition -- 7 Conclusions -- References -- Two More Strategies to Speed Up Connected Components Labeling Algorithms -- 1 Introduction -- 2 Previous Works -- 3 Pattern Analysis and Modeling of Decision Trees -- 4 Parallel Connected Components Labeling -- 5 Experimental Evaluation -- 5.1 Datasets.
5.2 Frequencies Results -- 5.3 Parallel Results -- 6 Conclusions -- References -- Embedded Real-Time Visual Search with Visual Distance Estimation -- 1 Introduction -- 2 Related Work -- 3 Proposed Pipeline -- 3.1 Image Analyzer -- 3.2 Retrieval Stage -- 3.3 Multiple Results Loop -- 3.4 Distance Estimation -- 4 Experiments and Results -- 4.1 Distance Estimation Accuracy -- 4.2 Performances -- 5 Conclusions -- References -- Synchronization in the Symmetric Inverse Semigroup -- 1 Introduction -- 2 Synchronization -- 2.1 Matrix Formulation -- 3 Problem Formulation -- 4 Permutation Synchronization -- 5 Partial Permutation Synchronization -- 6 Experiments -- 7 Conclusion -- References -- A Fully Convolutional Network for Salient Object Detection -- 1 Introduction -- 2 Proposed Method -- 2.1 Training -- 3 Experiments -- 3.1 Datasets -- 3.2 Data Augmentation -- 3.3 Evaluation Measures -- 3.4 Results -- 4 Conclusions -- References -- A Lightweight Mamdani Fuzzy Controller for Noise Removal on Iris Images -- 1 Introduction -- 2 The Proposed Algorithm -- 2.1 Iris Detection and Decomposition -- 2.2 The SKE Values -- 2.3 The Fuzzy Rules -- 3 Preliminary Results -- 4 Conclusions -- References -- Analysis of the Discriminative Generalized Hough Transform for Pedestrian Detection -- 1 Introduction -- 2 Methods -- 2.1 Structured Edge Detection -- 2.2 Discriminative Generalized Hough Transform -- 2.3 Rejection of Proposals -- 3 Experimental Setup -- 3.1 Databases -- 3.2 Experimental Setup and System Parameters -- 3.3 Comparison to State-of-the-Art Approaches -- 3.4 Evaluation Metrics -- 4 Results -- 4.1 SCM Rejection -- 4.2 SCM Rejection: Error Analysis -- 4.3 SCM Rejection: Oracle Experiments -- 4.4 CNN Rejection: Detection Results -- 5 Discussion -- 6 Conclusions -- References.
Bubble Shape Identification and Calculation in Gas-Liquid Slug Flow Using Semi-automatic Image Segmentation -- 1 Introduction -- 2 Materials and Methods -- 2.1 Image Acquisition -- 2.2 Image Segmentation by Level Set Method -- 2.3 A Priori Shape Definition -- 2.4 Level Set Priori Shape Restrict - LSR -- 3 Proposed Scheme to Two-Phase Flow Image Segmentation -- 4 Experimental Results -- 4.1 Validation -- 4.2 Wire-Mesh Image Comparison and Grey Levels Images -- 4.3 Gas Bubbles Velocity -- 5 Conclusion -- References -- Deep Face Model Compression Using Entropy-Based Filter Selection -- 1 Introduction -- 2 Related Works -- 3 Entropy-Based Model Compression -- 3.1 Framework -- 3.2 Entropy-Based Prune Metric -- 3.3 Network Trimming -- 4 Experiments -- 4.1 VGG-16 Network -- 4.2 WebFace Network -- 4.3 Effectiveness Analysis -- 5 Conclusion -- References -- Deep Passenger State Monitoring Using Viewpoint Warping -- 1 Introduction -- 2 Method -- 2.1 Image Alignment Using Homography -- 2.2 Synthesising Viewpoint Changes -- 2.3 Passenger State Classification -- 3 Experiments and Results -- 3.1 Dataset -- 3.2 Evaluation -- 3.3 Results -- 4 Conclusions -- References -- Demographic Classification Using Skin RGB Albedo Image Analysis -- 1 Introduction -- 1.1 Skin Anatomy -- 1.2 Skin Visual Perception -- 1.3 Skin Related Demographics -- 2 Related Work -- 2.1 Skin Classification Based on Skin Aging and Light Exposure -- 2.2 Light-Skin Interaction Prediction: BSSRDF -- 2.3 State of the Art Skin Models -- 3 Proposed Albedo Based Descriptor -- 3.1 RGB Albedo Descriptor -- 4 Demographic Classification Results and Analysis -- 4.1 Gender, Skin Type and Age Clustering -- 4.2 Gender, Skin Type and Age Classification -- 5 Conclusion -- References -- Discriminative Dictionary Design for Action Classification in Still Images -- 1 Introduction -- 2 Related Works.
2.1 Action Recognition from Still Images -- 2.2 Efficient Codebook Construction for Classification -- 3 Proposed Algorithm -- 3.1 Extraction of Local Features -- 3.2 Discriminative Dictionary Learning -- 3.3 Feature Encoding Using C"0362C -- 3.4 Classification -- 4 Experimental Details -- 4.1 Dataset -- 4.2 Experimental Setup -- 4.3 Performance Evaluation -- 5 Conclusion -- References -- Enhanced Bags of Visual Words Representation Using Spatial Information -- 1 Introduction -- 2 Traffic Signs Recognition -- 2.1 Enhanced BoVW Using Spatial Information -- 2.2 Similarity Measure -- 3 Experiment Results -- 3.1 Performance of the Proposed Method -- 3.2 Comparisons with Other State-of-the-Art Methods -- 4 Conclusions -- References -- Exploiting Spatial Context in Nonlinear Mapping of Hyperspectral Image Data -- 1 Introduction -- 2 Methods -- 2.1 Dimensionality Reduction -- 2.2 Exploiting Spatial Context in Dimensionality Reduction -- 3 Experimental Study -- 3.1 Classification of Hyperspectral Image Data -- 3.2 Clustering and Segmentation of Hyperspectral Image Data -- 3.3 Visualization of Hyperspectral Image Data -- 4 Conclusion -- References -- Exploiting Visual Saliency Algorithms for Object-Based Attention: A New Color and Scale-Based Approach -- 1 Introduction -- 2 State of the Art -- 3 Proposed Methods -- 3.1 Eye Tracking Data Acquisition -- 3.2 Proposed Saliency Map Generation Method -- 4 Experimental Results -- 5 Conclusion and Future Works -- References -- Face Recognition with Single Training Sample per Subject -- 1 Introduction -- 2 Background of Local Binary Patterns -- 3 Overview of Proposed Approach -- 3.1 Offline Phase -- 3.2 Online Phase -- 3.3 Optimization and Classification -- 3.4 Parameter Setting -- 4 Experimental Results -- 4.1 The Experiments Comparison: FR on FRGCv1, OR, CK+, FEI and GT Databases -- 4.2 Running Time Comparison.
5 Conclusion -- References -- Food Recognition Using Fusion of Classifiers Based on CNNs -- 1 Introduction -- 2 Methodology -- 2.1 Training of CNN Models -- 2.2 Decision Templates for Classifiers Fusion -- 3 Experiments -- 3.1 Datasets -- 3.2 Experimental Setup -- 3.3 Data Preprocessing and Metrics -- 3.4 Experimental Results on Food-11 -- 3.5 Experimental Results on Food-101 -- 4 Conclusions -- References -- MR Brain Tissue Segmentation Based on Clustering Techniques and Neural Network -- 1 Introduction -- 2 Related Work -- 3 The Proposed Method -- 3.1 Training Phase -- 3.2 Testing Phase -- 4 Experimental Results -- 5 Conclusions -- References -- Multi-branch CNN for Multi-scale Age Estimation -- 1 Introduction -- 2 Related Works -- 3 Multi-branch CNN -- 4 Experimental Results -- 5 Conclusions -- References -- No-Reference Learning-Based and Human Visual-Based Image Quality Assessment Metric -- 1 Introduction -- 2 The LEVIQI Index -- 2.1 General Framework -- 2.2 Visual Sub-band Decomposition -- 2.3 Selected Features -- 3 Performance Evaluation -- 3.1 Experimental Setup -- 3.2 Experimental Results -- 4 Conclusion -- References -- Performance Evaluation of Multiscale Covariance Descriptor in Underwater Object Detection -- Abstract -- 1 Introduction -- 2 Autonomous Underwater Vehicle -- 3 Image Descriptors -- 3.1 Global Approach -- 3.2 Type of Descriptor -- 3.3 Multiscale Covariance Descriptor -- 3.4 Support Vector Machine -- 4 Experimental Result -- 4.1 Evaluation Metric -- 4.2 Maris Dataset -- 4.3 Result -- 5 Conclusion -- References -- Retinal Vessel Segmentation Through Denoising and Mathematical Morphology -- 1 Introduction -- 2 Dataset -- 3 Method -- 3.1 Denoising: Non-local Means Algorithm -- 3.2 Mathematical Morphology: Black Top-Hat -- 3.3 Image Thresholding -- 4 Experiments -- 5 Conclusions -- References.
Segmentation of Green Areas Using Bivariate Histograms Based in Hue-Saturation Type Color Spaces.
Record Nr. UNISA-996465418803316
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Image Analysis and Processing - ICIAP 2017 [[electronic resource] ] : 19th International Conference, Catania, Italy, September 11-15, 2017, Proceedings, Part I / / edited by Sebastiano Battiato, Giovanni Gallo, Raimondo Schettini, Filippo Stanco
Image Analysis and Processing - ICIAP 2017 [[electronic resource] ] : 19th International Conference, Catania, Italy, September 11-15, 2017, Proceedings, Part I / / edited by Sebastiano Battiato, Giovanni Gallo, Raimondo Schettini, Filippo Stanco
Edizione [1st ed. 2017.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017
Descrizione fisica 1 online resource (XXVII, 767 p. 298 illus.)
Disciplina 621.367
Collana Image Processing, Computer Vision, Pattern Recognition, and Graphics
Soggetto topico Optical data processing
Artificial intelligence
Pattern recognition
User interfaces (Computer systems)
Data mining
Computer communication systems
Image Processing and Computer Vision
Artificial Intelligence
Pattern Recognition
User Interfaces and Human Computer Interaction
Data Mining and Knowledge Discovery
Computer Communication Networks
ISBN 3-319-68560-0
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Intro -- Preface -- Organization -- Contents - Part I -- Contents - Part II -- Video Analysis and Understanding -- A Rank Aggregation Framework for Video Interestingness Prediction -- 1 Introduction -- 2 Related Work -- 3 Feature Extraction -- 3.1 Histogram of Motion Patterns -- 3.2 Mel-Frequency Cepstral Coefficients -- 4 Ranking Models -- 5 Rank Aggregation Framework -- 5.1 Borda Method -- 5.2 Reciprocal Rank Fusion -- 5.3 Multiplicative Rank Aggregation -- 6 Experiments and Results -- 7 Conclusions -- References -- Graph-Based Hierarchical Video Cosegmentation -- 1 Introduction -- 2 Graph-Based Hierarchical Clustering -- 3 Proposed Method -- 4 Experiments -- 5 Conclusion -- References -- Interest Region Based Motion Magnification -- 1 Introduction -- 2 Related Work -- 3 Interest Region Based Motion Magnification -- 3.1 Object Segmentation -- 3.2 Scribble Drawing and Alpha Matting -- 3.3 Video Magnification -- 3.4 Pipeline -- 4 Experiments and Discussion -- 5 Conclusion -- References -- Investigating the Use of Space-Time Primitives to Understand Human Movements -- 1 Introduction -- 2 Shearlet Theory: An Overview -- 3 Building Dictionaries of Space-Time Primitives -- 4 Experimental Analysis -- 4.1 Dataset and Experimental Protocol -- 4.2 Preliminary Investigation -- 5 Discussion -- References -- Organizing Videos Streams for Clustering and Estimation of Popular Scenes -- 1 Introduction -- 2 Related Works -- 3 RECfusion System Overview -- 3.1 Intraflow Analysis -- 3.2 Interflow Analysis -- 3.3 Cluster Tracking -- 4 Datasets -- 5 Experimental Settings and Results -- 6 Conclusion and Future Works -- References -- 360° Tracking Using a Virtual PTZ Camera -- 1 Introduction -- 2 Related Works -- 2.1 360 Image Representation -- 2.2 PTZ Tracking -- 3 360 Camera Model -- 3.1 Equirectangular Projection.
3.2 Equirectangular to Virtual Camera Plane Projection -- 4 Tracking Model -- 4.1 Tracking Algorithm -- 5 Results -- 6 Conclusions -- References -- Benchmarking Two Algorithms for People Detection from Top-View Depth Cameras -- 1 Introduction -- 2 Methods Considered for the Benchmarking -- 2.1 WATERFILLING -- 2.2 HOG-SVM -- 3 The Adopted Dataset -- 4 Experimental Analysis -- 4.1 Performance Indices -- 4.2 Training Procedure -- 4.3 Analysis of the Experimental Results -- 5 Conclusions and Future Work -- References -- Gesture Modelling and Recognition by Integrating Declarative Models and Pattern Recognition Algorithms -- 1 Introduction -- 2 Related Work -- 2.1 Vision-Based Gesture Recognition Approaches -- 2.2 Gesture Recognition: The Declarative Modelling Approach -- 3 Combining the Two Approaches with DEICTIC -- 4 Experiments and Preliminary Results -- 5 Conclusions -- References -- How Far Can You Get by Combining Change Detection Algorithms? -- 1 Introduction -- 2 The Proposed Approach -- 3 Experimental Setup -- 4 Results -- 5 Computational Time -- 6 Conclusion -- References -- Robust Tracking of Walking Persons by Elite-Type Particle Filters and RGB-D Images -- 1 Introduction -- 2 Elite-Type Particle Filter -- 2.1 Overall Structure of Tracking Algorithm -- 2.2 Basic Structure of Elite-Type Particle Filter -- 2.3 Likelihoods -- 2.4 Resampling -- 3 Transitional Management of PF States -- 4 Parameter Adjustment -- 5 Experiment -- 5.1 Specifications -- 5.2 Results and Discussion -- 6 Conclusions -- References -- Video Saliency Detection Based on Boolean Map Theory -- 1 Introduction -- 2 Boolean-Map Video Saliency -- 2.1 Boolean Maps Generation -- 2.2 Saliency Computation -- 3 Experimental Results -- 3.1 Experiments -- 3.2 Results -- 4 Conclusion -- References -- A System for Autonomous Landing of a UAV on a Moving Vehicle -- 1 Introduction.
2 System Architecture -- 2.1 Hardware Architecture -- 2.2 Software Architecture -- 3 Dynamic Target Position Estimation -- 4 Target Detection and Tracking -- 4.1 Acquisition Hardware -- 4.2 Video Analysis -- 5 Basic Landing Strategy -- 6 Results -- 6.1 Simulations -- 6.2 On Field Trials -- 7 Conclusions -- References -- One-Step Time-Dependent Future Video Frame Prediction with a Convolutional Encoder-Decoder Neural Network -- 1 Introduction -- 1.1 Related Work -- 2 Time-Dependent Video Frame Prediction -- 3 Experiments -- 3.1 Experimental Setup -- 3.2 Dataset -- 3.3 Experimental Results -- 3.4 Ambiguities and Downsides -- 4 Conclusion -- References -- Joint Orientations from Skeleton Data for Human Activity Recognition -- 1 Introduction -- 2 State of the Art -- 3 Proposed Approach -- 4 Experiments -- 4.1 Office Activity Dataset (OAD) -- 4.2 Results -- 5 Conclusions -- References -- A Tensor Framework for Data Stream Clustering and Compression -- Abstract -- 1 Introduction -- 2 Architecture of Tensor Stream Clustering and Compression -- 3 Tensor Model Build and Update Scheme for Data Clustering -- 4 Stream Compression on Shot Boundaries -- 5 Experimental Results -- 6 Conclusions -- Acknowledgement -- References -- Convex Polytope Ensembles for Spatio-Temporal Anomaly Detection -- 1 Introduction and Related Work -- 2 Anomaly Detection with Convex Polytopes -- 2.1 Model Building -- 2.2 Anomaly Localization -- 3 Experimental Results -- 4 Conclusion -- References -- Human Action Classification Using an Extended BoW Formalism -- 1 Introduction -- 2 Related Work -- 3 Traditional Bag-of-Words -- 4 An Extended BoW Formalism -- 5 Experimental Analysis -- 5.1 Datasets and Protocols -- 5.2 Experimental Setup -- 5.3 Comparison with the State-of-the-art -- 6 Conclusions and Further Works -- References -- Virtual EMG via Facial Video Analysis -- 1 Introduction.
2 Method -- 3 Experimental Work -- 4 Discussion and Conclusions -- References -- Pattern Recognition and Machine Learning -- A Compact Kernel Approximation for 3D Action Recognition -- 1 Introduction -- 2 Related Work -- 3 The Proposed Approximated Feature Map -- 4 Results -- 5 Conclusions -- A Proofs of All Theoretical Results -- References -- A Machine Learning Approach for the Online Separation of Handwriting from Freehand Drawing -- 1 Introduction -- 2 Related Work -- 3 The Proposed Method -- 3.1 Pre-processing Stage -- 3.2 Feature Extraction Stage -- 3.3 Machine Learning Stage -- 3.4 Domain Separation Stage -- 4 Experimental Results and Discussion -- 4.1 Dataset -- 4.2 Results -- 5 Conclusions -- References -- Learning to Map Vehicles into Bird's Eye View -- 1 Introduction -- 2 Related Work -- 3 Proposed Dataset -- 4 Model -- 5 Experimental Results -- 6 Conclusions -- References -- Linear Regularized Compression of Deep Convolutional Neural Networks -- 1 Introduction -- 2 Related Works -- 3 Our Approach -- 4 Experimental Results -- 5 Conclusions and Future Works -- References -- Network Edge Entropy from Maxwell-Boltzmann Statistics -- 1 Introduction -- 2 Preliminaries -- 2.1 Von Neumann Entropy -- 3 Network Entropy in Maxwell-Boltzmann Statistics -- 3.1 Thermodynamic Representation -- 3.2 Maxwell-Boltzmann Statistics -- 3.3 Edge Entropy Analysis -- 4 Experiments and Evaluations -- 4.1 Data Sets -- 4.2 Experimental Results -- 5 Conclusion -- References -- Learning from Enhanced Contextual Similarity in Brain Imaging Data for Classification of Schizophrenia -- 1 Introduction -- 2 Learning from Enhanced Contextual Similarity -- 2.1 CS Enhancement Using DML -- 2.2 Learning from Enhanced CS of MR Images Using GT -- 3 Experiments -- 3.1 Dataset and Representation -- 3.2 Experimental Analysis -- 3.3 Experimental Results.
3.4 Discussion of the Experimental Results -- 4 Conclusion -- References -- 3D Object Detection Method Using LiDAR Information in Multiple Frames -- 1 Introduction -- 2 Proposed Method -- 2.1 2D-Object Detection and 3D-Environment Reconstruction Using LiDAR -- 2.2 Supplementing Information Through Object Matching in Multi Frame -- 3 Experimental Results -- 3.1 Implementation Details -- 3.2 KITTI Detection Accuracy -- 3.3 KITTI Orientation Accuracy -- 4 Conclusion -- References -- Colorizing Infrared Images Through a Triplet Conditional DCGAN Architecture -- 1 Introduction -- 2 Related Work -- 3 Proposed Approach -- 4 Experimental Results -- 5 Conclusions -- References -- Complexity and Accuracy of Hand-Crafted Detection Methods Compared to Convolutional Neural Networks -- 1 Introduction -- 2 Object Detection -- 2.1 Traditional Approaches -- 2.2 Neural Networks -- 2.3 Optimized Aggregated Channel Feature Detection -- 2.4 Convolutional Neural Network Detection -- 3 Experimental Evaluation -- 3.1 Datasets -- 3.2 Metrics for Complexity and Accuracy -- 3.3 Accuracy Results -- 3.4 Complexity Results -- 4 Conclusion and Future Work -- References -- Emotion Recognition Based on Occluded Facial Expressions -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 Preprocessing -- 3.2 Facial Expression Reconstruction -- 3.3 Facial Feature Extraction -- 3.4 Feature Reduction -- 3.5 Classification -- 4 Results -- 5 Conclusions and Future Work -- References -- Exploiting Context Information for Image Description -- 1 Introduction -- 2 Related Work -- 3 System Architecture -- 3.1 Probabilistic Ontology -- 3.2 Combination Models -- 4 Experimental Assessment -- 4.1 Results and Discussion -- 5 Conclusions and Future Work -- References -- Generating Knowledge-Enriched Image Annotations for Fine-Grained Visual Classification -- 1 Introduction -- 2 Related Work.
3 Generating Knowledge-Enriched Visual Annotations.
Record Nr. UNISA-996465290103316
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017
Materiale a stampa
Lo trovi qui: Univ. di Salerno
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Image Analysis and Processing - ICIAP 2017 : 19th International Conference, Catania, Italy, September 11-15, 2017, Proceedings, Part I / / edited by Sebastiano Battiato, Giovanni Gallo, Raimondo Schettini, Filippo Stanco
Image Analysis and Processing - ICIAP 2017 : 19th International Conference, Catania, Italy, September 11-15, 2017, Proceedings, Part I / / edited by Sebastiano Battiato, Giovanni Gallo, Raimondo Schettini, Filippo Stanco
Edizione [1st ed. 2017.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017
Descrizione fisica 1 online resource (XXVII, 767 p. 298 illus.)
Disciplina 621.367
Collana Image Processing, Computer Vision, Pattern Recognition, and Graphics
Soggetto topico Optical data processing
Artificial intelligence
Pattern perception
User interfaces (Computer systems)
Data mining
Computer networks
Image Processing and Computer Vision
Artificial Intelligence
Pattern Recognition
User Interfaces and Human Computer Interaction
Data Mining and Knowledge Discovery
Computer Communication Networks
ISBN 3-319-68560-0
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Intro -- Preface -- Organization -- Contents - Part I -- Contents - Part II -- Video Analysis and Understanding -- A Rank Aggregation Framework for Video Interestingness Prediction -- 1 Introduction -- 2 Related Work -- 3 Feature Extraction -- 3.1 Histogram of Motion Patterns -- 3.2 Mel-Frequency Cepstral Coefficients -- 4 Ranking Models -- 5 Rank Aggregation Framework -- 5.1 Borda Method -- 5.2 Reciprocal Rank Fusion -- 5.3 Multiplicative Rank Aggregation -- 6 Experiments and Results -- 7 Conclusions -- References -- Graph-Based Hierarchical Video Cosegmentation -- 1 Introduction -- 2 Graph-Based Hierarchical Clustering -- 3 Proposed Method -- 4 Experiments -- 5 Conclusion -- References -- Interest Region Based Motion Magnification -- 1 Introduction -- 2 Related Work -- 3 Interest Region Based Motion Magnification -- 3.1 Object Segmentation -- 3.2 Scribble Drawing and Alpha Matting -- 3.3 Video Magnification -- 3.4 Pipeline -- 4 Experiments and Discussion -- 5 Conclusion -- References -- Investigating the Use of Space-Time Primitives to Understand Human Movements -- 1 Introduction -- 2 Shearlet Theory: An Overview -- 3 Building Dictionaries of Space-Time Primitives -- 4 Experimental Analysis -- 4.1 Dataset and Experimental Protocol -- 4.2 Preliminary Investigation -- 5 Discussion -- References -- Organizing Videos Streams for Clustering and Estimation of Popular Scenes -- 1 Introduction -- 2 Related Works -- 3 RECfusion System Overview -- 3.1 Intraflow Analysis -- 3.2 Interflow Analysis -- 3.3 Cluster Tracking -- 4 Datasets -- 5 Experimental Settings and Results -- 6 Conclusion and Future Works -- References -- 360° Tracking Using a Virtual PTZ Camera -- 1 Introduction -- 2 Related Works -- 2.1 360 Image Representation -- 2.2 PTZ Tracking -- 3 360 Camera Model -- 3.1 Equirectangular Projection.
3.2 Equirectangular to Virtual Camera Plane Projection -- 4 Tracking Model -- 4.1 Tracking Algorithm -- 5 Results -- 6 Conclusions -- References -- Benchmarking Two Algorithms for People Detection from Top-View Depth Cameras -- 1 Introduction -- 2 Methods Considered for the Benchmarking -- 2.1 WATERFILLING -- 2.2 HOG-SVM -- 3 The Adopted Dataset -- 4 Experimental Analysis -- 4.1 Performance Indices -- 4.2 Training Procedure -- 4.3 Analysis of the Experimental Results -- 5 Conclusions and Future Work -- References -- Gesture Modelling and Recognition by Integrating Declarative Models and Pattern Recognition Algorithms -- 1 Introduction -- 2 Related Work -- 2.1 Vision-Based Gesture Recognition Approaches -- 2.2 Gesture Recognition: The Declarative Modelling Approach -- 3 Combining the Two Approaches with DEICTIC -- 4 Experiments and Preliminary Results -- 5 Conclusions -- References -- How Far Can You Get by Combining Change Detection Algorithms? -- 1 Introduction -- 2 The Proposed Approach -- 3 Experimental Setup -- 4 Results -- 5 Computational Time -- 6 Conclusion -- References -- Robust Tracking of Walking Persons by Elite-Type Particle Filters and RGB-D Images -- 1 Introduction -- 2 Elite-Type Particle Filter -- 2.1 Overall Structure of Tracking Algorithm -- 2.2 Basic Structure of Elite-Type Particle Filter -- 2.3 Likelihoods -- 2.4 Resampling -- 3 Transitional Management of PF States -- 4 Parameter Adjustment -- 5 Experiment -- 5.1 Specifications -- 5.2 Results and Discussion -- 6 Conclusions -- References -- Video Saliency Detection Based on Boolean Map Theory -- 1 Introduction -- 2 Boolean-Map Video Saliency -- 2.1 Boolean Maps Generation -- 2.2 Saliency Computation -- 3 Experimental Results -- 3.1 Experiments -- 3.2 Results -- 4 Conclusion -- References -- A System for Autonomous Landing of a UAV on a Moving Vehicle -- 1 Introduction.
2 System Architecture -- 2.1 Hardware Architecture -- 2.2 Software Architecture -- 3 Dynamic Target Position Estimation -- 4 Target Detection and Tracking -- 4.1 Acquisition Hardware -- 4.2 Video Analysis -- 5 Basic Landing Strategy -- 6 Results -- 6.1 Simulations -- 6.2 On Field Trials -- 7 Conclusions -- References -- One-Step Time-Dependent Future Video Frame Prediction with a Convolutional Encoder-Decoder Neural Network -- 1 Introduction -- 1.1 Related Work -- 2 Time-Dependent Video Frame Prediction -- 3 Experiments -- 3.1 Experimental Setup -- 3.2 Dataset -- 3.3 Experimental Results -- 3.4 Ambiguities and Downsides -- 4 Conclusion -- References -- Joint Orientations from Skeleton Data for Human Activity Recognition -- 1 Introduction -- 2 State of the Art -- 3 Proposed Approach -- 4 Experiments -- 4.1 Office Activity Dataset (OAD) -- 4.2 Results -- 5 Conclusions -- References -- A Tensor Framework for Data Stream Clustering and Compression -- Abstract -- 1 Introduction -- 2 Architecture of Tensor Stream Clustering and Compression -- 3 Tensor Model Build and Update Scheme for Data Clustering -- 4 Stream Compression on Shot Boundaries -- 5 Experimental Results -- 6 Conclusions -- Acknowledgement -- References -- Convex Polytope Ensembles for Spatio-Temporal Anomaly Detection -- 1 Introduction and Related Work -- 2 Anomaly Detection with Convex Polytopes -- 2.1 Model Building -- 2.2 Anomaly Localization -- 3 Experimental Results -- 4 Conclusion -- References -- Human Action Classification Using an Extended BoW Formalism -- 1 Introduction -- 2 Related Work -- 3 Traditional Bag-of-Words -- 4 An Extended BoW Formalism -- 5 Experimental Analysis -- 5.1 Datasets and Protocols -- 5.2 Experimental Setup -- 5.3 Comparison with the State-of-the-art -- 6 Conclusions and Further Works -- References -- Virtual EMG via Facial Video Analysis -- 1 Introduction.
2 Method -- 3 Experimental Work -- 4 Discussion and Conclusions -- References -- Pattern Recognition and Machine Learning -- A Compact Kernel Approximation for 3D Action Recognition -- 1 Introduction -- 2 Related Work -- 3 The Proposed Approximated Feature Map -- 4 Results -- 5 Conclusions -- A Proofs of All Theoretical Results -- References -- A Machine Learning Approach for the Online Separation of Handwriting from Freehand Drawing -- 1 Introduction -- 2 Related Work -- 3 The Proposed Method -- 3.1 Pre-processing Stage -- 3.2 Feature Extraction Stage -- 3.3 Machine Learning Stage -- 3.4 Domain Separation Stage -- 4 Experimental Results and Discussion -- 4.1 Dataset -- 4.2 Results -- 5 Conclusions -- References -- Learning to Map Vehicles into Bird's Eye View -- 1 Introduction -- 2 Related Work -- 3 Proposed Dataset -- 4 Model -- 5 Experimental Results -- 6 Conclusions -- References -- Linear Regularized Compression of Deep Convolutional Neural Networks -- 1 Introduction -- 2 Related Works -- 3 Our Approach -- 4 Experimental Results -- 5 Conclusions and Future Works -- References -- Network Edge Entropy from Maxwell-Boltzmann Statistics -- 1 Introduction -- 2 Preliminaries -- 2.1 Von Neumann Entropy -- 3 Network Entropy in Maxwell-Boltzmann Statistics -- 3.1 Thermodynamic Representation -- 3.2 Maxwell-Boltzmann Statistics -- 3.3 Edge Entropy Analysis -- 4 Experiments and Evaluations -- 4.1 Data Sets -- 4.2 Experimental Results -- 5 Conclusion -- References -- Learning from Enhanced Contextual Similarity in Brain Imaging Data for Classification of Schizophrenia -- 1 Introduction -- 2 Learning from Enhanced Contextual Similarity -- 2.1 CS Enhancement Using DML -- 2.2 Learning from Enhanced CS of MR Images Using GT -- 3 Experiments -- 3.1 Dataset and Representation -- 3.2 Experimental Analysis -- 3.3 Experimental Results.
3.4 Discussion of the Experimental Results -- 4 Conclusion -- References -- 3D Object Detection Method Using LiDAR Information in Multiple Frames -- 1 Introduction -- 2 Proposed Method -- 2.1 2D-Object Detection and 3D-Environment Reconstruction Using LiDAR -- 2.2 Supplementing Information Through Object Matching in Multi Frame -- 3 Experimental Results -- 3.1 Implementation Details -- 3.2 KITTI Detection Accuracy -- 3.3 KITTI Orientation Accuracy -- 4 Conclusion -- References -- Colorizing Infrared Images Through a Triplet Conditional DCGAN Architecture -- 1 Introduction -- 2 Related Work -- 3 Proposed Approach -- 4 Experimental Results -- 5 Conclusions -- References -- Complexity and Accuracy of Hand-Crafted Detection Methods Compared to Convolutional Neural Networks -- 1 Introduction -- 2 Object Detection -- 2.1 Traditional Approaches -- 2.2 Neural Networks -- 2.3 Optimized Aggregated Channel Feature Detection -- 2.4 Convolutional Neural Network Detection -- 3 Experimental Evaluation -- 3.1 Datasets -- 3.2 Metrics for Complexity and Accuracy -- 3.3 Accuracy Results -- 3.4 Complexity Results -- 4 Conclusion and Future Work -- References -- Emotion Recognition Based on Occluded Facial Expressions -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 Preprocessing -- 3.2 Facial Expression Reconstruction -- 3.3 Facial Feature Extraction -- 3.4 Feature Reduction -- 3.5 Classification -- 4 Results -- 5 Conclusions and Future Work -- References -- Exploiting Context Information for Image Description -- 1 Introduction -- 2 Related Work -- 3 System Architecture -- 3.1 Probabilistic Ontology -- 3.2 Combination Models -- 4 Experimental Assessment -- 4.1 Results and Discussion -- 5 Conclusions and Future Work -- References -- Generating Knowledge-Enriched Image Annotations for Fine-Grained Visual Classification -- 1 Introduction -- 2 Related Work.
3 Generating Knowledge-Enriched Visual Annotations.
Record Nr. UNINA-9910485003803321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017
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