top

  Info

  • Utilizzare la checkbox di selezione a fianco di ciascun documento per attivare le funzionalità di stampa, invio email, download nei formati disponibili del (i) record.

  Info

  • Utilizzare questo link per rimuovere la selezione effettuata.
Advances in Multimedia Information Processing -- PCM 2015 [[electronic resource] ] : 16th Pacific-Rim Conference on Multimedia, Gwangju, South Korea, September 16-18, 2015, Proceedings, Part I / / edited by Yo-Sung Ho, Jitao Sang, Yong Man Ro, Junmo Kim, Fei Wu
Advances in Multimedia Information Processing -- PCM 2015 [[electronic resource] ] : 16th Pacific-Rim Conference on Multimedia, Gwangju, South Korea, September 16-18, 2015, Proceedings, Part I / / edited by Yo-Sung Ho, Jitao Sang, Yong Man Ro, Junmo Kim, Fei Wu
Edizione [1st ed. 2015.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015
Descrizione fisica 1 online resource (XXIV, 735 p. 358 illus. in color.)
Disciplina 006.7
Collana Information Systems and Applications, incl. Internet/Web, and HCI
Soggetto topico Multimedia information systems
Application software
Optical data processing
Pattern recognition
Data mining
User interfaces (Computer systems)
Multimedia Information Systems
Information Systems Applications (incl. Internet)
Image Processing and Computer Vision
Pattern Recognition
Data Mining and Knowledge Discovery
User Interfaces and Human Computer Interaction
ISBN 3-319-24075-7
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Intro -- Preface -- Organization -- Contents - Part I -- Contents - Part II -- Image and Audio Processing -- Internal Generative Mechanism Based Otsu Multilevel Thresholding Segmentation for Medical Brain Images -- Abstract -- 1 Introduction -- 2 Otsu Thresholding -- 3 The Proposed Segmentation Algorithm -- 3.1 Segmentation Scheme -- 3.2 Internal Generative Mechanism -- 3.3 Regrouping the Controversial Pixels -- 4 Experimental Results and Analysis -- 4.1 Experimental Settings -- 4.2 Experimental Results -- 5 Conclusion -- Acknowledgements -- References -- Efficient Face Image Deblurring via Robust Face Salient Landmark Detection -- 1 Introduction -- 2 The Proposed Method -- 2.1 Motivation -- 2.2 Robust Face Landmark Detector Training -- 2.3 Salient Contour Detection -- 2.4 Blind Image Deblurring -- 3 Experimental Results -- 3.1 Experiments on Synthesised Dataset and Real Images -- 3.2 Computation Cost Comparison -- 3.3 Adaptation to Complex Face Poses -- 3.4 Rolling Guidance Face Deblurring -- 4 Conclusions -- References -- Non-uniform Deblur Using Gyro Sensor and Long/Short Exposure Image Pair -- Abstract -- 1 Introduction -- 2 The Proposed Algorithm -- 2.1 Non-uniform Blur Model -- 2.2 IMU Sensor and Camera Motion -- 2.3 The Initial Kernel Estimation Using Gyro Data -- 2.4 Kernel Refinement -- 2.5 Deconvolution -- 3 Experimental Results -- 4 Conclusion -- References -- Object Searching with Combination of Template Matching -- Abstract -- 1 Introduction -- 2 Conventional Methods -- 3 Proposed Method -- 3.1 Partition Search Area -- 3.2 Object Identification -- 3.3 Adaptive Combination Template Matching -- 4 Experiment Results -- 5 Conclusion -- Acknowledgement -- References -- Multimedia Content Analysis -- Two-Step Greedy Subspace Clustering -- 1 Introduction -- 1.1 Related Work on Subspace Clustering -- 1.2 Paper Contributions.
2 Two-Step Greedy Subspace Clustering -- 2.1 First Step: Initial Subspace Construction -- 2.2 Second Step: Greedy Subspace Clustering -- 3 Experiments -- 3.1 Motion Segmentation -- 3.2 Face Clustering -- 4 Conclusion -- References -- Iterative Collection Annotation for Sketch Recognition -- 1 Introduction -- 2 Overview of Proposed Method -- 3 Sketch Representation and Similarity Measuring Model -- 4 Semi-Supervised Clustering -- 5 Supervision Information Establishment -- 6 Experiments and Results -- 7 Conclusion -- References -- Supervised Dictionary Learning Based on Relationship Between Edges and Levels -- 1 Introduction -- 2 Our Approach -- 2.1 Classical Dictionary Learning -- 2.2 Our Supervised Dictionary Learning -- 2.3 Optimization Algorithm -- 3 Experimental -- 3.1 Data Set -- 3.2 Comparison Methods and Evaluation Criteria -- 3.3 Experimental Results and Analysis -- 4 Conclusions -- References -- Adaptive Margin Nearest Neighbor for Person Re-Identification -- 1 Introduction -- 2 Large Margin Nearest Neighbor -- 3 Adaptive Margin Nearest Neighbor -- 4 Experiment -- 4.1 Experiment Setting -- 4.2 Parameter Selection -- 4.3 Evaluation on VIPeR and CUHK -- 5 Conclusion -- References -- Compressed-Domain Based Camera Motion Estimation for Realtime Action Recognition -- 1 Introduction -- 2 Proposed Method -- 2.1 Camera Model -- 2.2 Estimation of T -- 2.3 Estimation of a -- 2.4 Camera Motion Compensation -- 2.5 Feature Descriptor Extraction -- 3 Experimental Results -- 3.1 GME Evaluation -- 3.2 Feature Descriptor Evaluation -- 4 Conclusion -- References -- Image and Audio Processing -- On the Security of Image Manipulation Forensics -- Abstract -- 1 Introduction -- 2 Understanding and Evaluation of Forensics Security -- 2.1 Image Manipulation Forensics Model -- 2.2 Security Evaluation and Attacks -- 3 A Case Study with Resampling Forging Attack.
4 Experimental Results -- 5 Conclusion -- Acknowledgements -- References -- A Sparse Representation-Based Label Pruning for Image Inpainting Using Global Optimization -- Abstract -- 1 Introduction -- 2 Proposed Label Pruning -- 2.1 Dictionary Construction for Two Target Region Cases -- 2.2 Active Label Selection by Label Pruning -- 3 Experimental Results -- 4 Conclusion -- References -- Interactive RGB-D Image Segmentation Using Hierarchical Graph Cut and Geodesic Distance -- 1 Introduction -- 2 Related Work -- 3 Interactive RGB-D Image Segmentation -- 3.1 Preliminary of Hierarchical Graph Cut -- 3.2 Scale Space Construction -- 3.3 Integration of Color Cue and Depth Cue -- 3.4 Upscaling Boundary Refinement -- 4 Experiments -- 4.1 Datasets and Experimental Settings -- 4.2 Segmentation Accuracy Evaluation -- 4.3 Running Time Evaluation -- 5 Conclusions -- References -- Face Alignment with Two-Layer Shape Regression -- Abstract -- 1 Introduction -- 2 Overview -- 3 Main Work -- 3.1 Key Feature Points of a Component -- 3.2 Two-Layer Geometric Constraint -- 3.3 Sub-shape Selection -- 4 Experimental Results -- 4.1 Comparison with Previous Works -- 5 Conclusion and Future Work -- Acknowledgments -- References -- 3D Panning Based Sound Field Enhancement Method for Ambisonics -- 1 Introduction -- 2 Ambisonics Method -- 3 3D Panning Method with Sound Pressure Constraint at Two Ears -- 4 New Signal Distribution Method -- 4.1 Extension of Loudspeakers Structure -- 4.2 Calculation of the Input Signal -- 4.3 Signal Redistribution -- 4.4 Final Signals -- 5 Experiments -- 5.1 Objective Tests -- 5.2 Subjective Tests -- 6 Conclusion -- References -- Multimedia Applications and Services -- Multi-target Tracking via Max-Entropy Target Selection and Heterogeneous Camera Fusion -- 1 Introduction -- 2 Our Method -- 2.1 Online Multi-target Tracking.
2.2 Active Camera Scheduling -- 2.3 Static and Active Camera Tracklet Association -- 2.4 Final Trajectory Generation -- 3 Experiments -- 3.1 Experiment Setting -- 3.2 Results -- 4 Conclusion -- References -- Adaptive Multiple Appearances Model Framework for Long-Term Robust Tracking -- 1 Introduction -- 2 Related Works -- 3 The Framework of Adaptive Multiple Appearances Model Tracking -- 3.1 Dirichlet Process Mixture Model -- 3.2 Model Inference -- 3.3 AMAM Tracking -- 4 Experiments -- 4.1 The AMAM Modeling -- 4.2 Tracking System -- 5 Conclusion -- References -- On-line Sample Generation for In-air Written Chinese Character Recognition Based on Leap Motion Cont ... -- Abstract -- 1 Introduction -- 2 Writing Trajectory Capturing -- 3 Proposed Method -- 3.1 Off-line Sample Generation -- 3.2 On-line Sample Generation -- 4 Experimental Results -- 5 Conclusion -- References -- Progressive Image Segmentation Using Online Learning -- 1 Introduction -- 2 Overview of Progressive Segmentation Method -- 3 Multi-level Image Representation -- 4 Online Segmentation -- 5 Experimental Result -- 6 Conclusion -- References -- A Study of Interactive Digital Multimedia Applications -- Abstract -- 1 Background -- 2 Unlimited Channel for Communication -- 3 Conclusion -- Acknowledgments -- References -- Video Coding and Processing -- Particle Filter with Ball Size Adaptive Tracking Window and Ball Feature Likelihood Model for Ball's 3D Position Tracking in Volleyball Analysis -- Abstract -- 1 Introduction -- 2 Proposal -- 2.1 Ball Size Adaptive Tracking Window -- 2.2 Volleyball Feature Likelihood Model -- 2.3 Anti-occlusion Likelihood Measurement Method -- 3 Experiment -- 3.1 Tracking Example and Evaluation Method -- 3.2 Result and Comparison Analysis -- 4 Conclusion -- Acknowledgment -- References.
Block-Based Global and Multiple-Reference Scheme for Surveillance Video Coding -- Abstract -- 1 Introduction -- 2 Analysis -- 3 The Proposed Scheme -- 3.1 Block-Based Reference Scheme -- 3.2 Multiple-Reference Scheme -- 3.3 Global Reference Scheme -- 3.4 Costs -- 4 Experimental Results -- 5 Conclusion -- Acknowledgements -- References -- Global Object Representation of Scene Surveillance Video Based on Model and Feature Parameters -- Abstract -- 1 Introduction -- 2 Global Coding Scheme of Scene Surveillance Video -- 2.1 The Generation Mechanism and Features of Global Redundancy -- 2.2 Scene Surveillance Video Global Coding Scheme -- 3 Global Object Representation Based on Model and Feature Parameters -- 3.1 Model and Shape Representation -- 3.2 Location and Pose Representation -- 3.3 Texture Parameters Representation -- 3.4 Illumination Parameters Representation -- 4 Experiments and Results -- 4.1 Experiment 1 -- 4.2 Experiment 2 -- 5 Conclusions -- References -- A Sparse Error Compensation Based Incremental Principal Component Analysis Method for Foreground Detection -- 1 Introduction -- 2 Foreground Detection via Sparse Error Compensation Based Incremental PCA -- 2.1 The Proposed Subspace Based Foreground Detection Model -- 2.2 Two-Step Optimization Algorithm -- 3 Experiments -- 4 Conclusion -- References -- Multimedia Representation Learning -- Convolutional Neural Networks Features: Principal Pyramidal Convolution -- Abstract -- 1 Introduction -- 2 Principal Pyramidal Convolution -- 3 Experiment -- 3.1 Datasets -- 3.2 Comparisons on Different Networks -- 3.3 Comparisons on Different Dimensions -- 4 Conclusion -- References -- Gaze Shifting Kernel: Engineering Perceptually- Aware Features for Scene Categorization -- 1 Introduction -- 2 Related Work -- 3 The Proposed Gaze Shifting Kernel -- 3.1 Low-Level and High-Level Descriptions of Graphlets.
3.2 Sparsity-Constrained Graphlets Ranking.
Record Nr. UNINA-9910483333003321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Advances in Multimedia Information Processing -- PCM 2015 [[electronic resource] ] : 16th Pacific-Rim Conference on Multimedia, Gwangju, South Korea, September 16-18, 2015, Proceedings, Part II / / edited by Yo-Sung Ho, Jitao Sang, Yong Man Ro, Junmo Kim, Fei Wu
Advances in Multimedia Information Processing -- PCM 2015 [[electronic resource] ] : 16th Pacific-Rim Conference on Multimedia, Gwangju, South Korea, September 16-18, 2015, Proceedings, Part II / / edited by Yo-Sung Ho, Jitao Sang, Yong Man Ro, Junmo Kim, Fei Wu
Edizione [1st ed. 2015.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015
Descrizione fisica 1 online resource (XXIII, 683 p. 357 illus. in color.)
Disciplina 004.6068
Collana Information Systems and Applications, incl. Internet/Web, and HCI
Soggetto topico Multimedia information systems
Application software
Optical data processing
Pattern recognition
Data mining
User interfaces (Computer systems)
Multimedia Information Systems
Information Systems Applications (incl. Internet)
Image Processing and Computer Vision
Pattern Recognition
Data Mining and Knowledge Discovery
User Interfaces and Human Computer Interaction
ISBN 3-319-24078-1
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNISA-996466468303316
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Advances in Multimedia Information Processing -- PCM 2015 [[electronic resource] ] : 16th Pacific-Rim Conference on Multimedia, Gwangju, South Korea, September 16-18, 2015, Proceedings, Part I / / edited by Yo-Sung Ho, Jitao Sang, Yong Man Ro, Junmo Kim, Fei Wu
Advances in Multimedia Information Processing -- PCM 2015 [[electronic resource] ] : 16th Pacific-Rim Conference on Multimedia, Gwangju, South Korea, September 16-18, 2015, Proceedings, Part I / / edited by Yo-Sung Ho, Jitao Sang, Yong Man Ro, Junmo Kim, Fei Wu
Edizione [1st ed. 2015.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015
Descrizione fisica 1 online resource (XXIV, 735 p. 358 illus. in color.)
Disciplina 006.7
Collana Information Systems and Applications, incl. Internet/Web, and HCI
Soggetto topico Multimedia information systems
Application software
Optical data processing
Pattern recognition
Data mining
User interfaces (Computer systems)
Multimedia Information Systems
Information Systems Applications (incl. Internet)
Image Processing and Computer Vision
Pattern Recognition
Data Mining and Knowledge Discovery
User Interfaces and Human Computer Interaction
ISBN 3-319-24075-7
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Intro -- Preface -- Organization -- Contents - Part I -- Contents - Part II -- Image and Audio Processing -- Internal Generative Mechanism Based Otsu Multilevel Thresholding Segmentation for Medical Brain Images -- Abstract -- 1 Introduction -- 2 Otsu Thresholding -- 3 The Proposed Segmentation Algorithm -- 3.1 Segmentation Scheme -- 3.2 Internal Generative Mechanism -- 3.3 Regrouping the Controversial Pixels -- 4 Experimental Results and Analysis -- 4.1 Experimental Settings -- 4.2 Experimental Results -- 5 Conclusion -- Acknowledgements -- References -- Efficient Face Image Deblurring via Robust Face Salient Landmark Detection -- 1 Introduction -- 2 The Proposed Method -- 2.1 Motivation -- 2.2 Robust Face Landmark Detector Training -- 2.3 Salient Contour Detection -- 2.4 Blind Image Deblurring -- 3 Experimental Results -- 3.1 Experiments on Synthesised Dataset and Real Images -- 3.2 Computation Cost Comparison -- 3.3 Adaptation to Complex Face Poses -- 3.4 Rolling Guidance Face Deblurring -- 4 Conclusions -- References -- Non-uniform Deblur Using Gyro Sensor and Long/Short Exposure Image Pair -- Abstract -- 1 Introduction -- 2 The Proposed Algorithm -- 2.1 Non-uniform Blur Model -- 2.2 IMU Sensor and Camera Motion -- 2.3 The Initial Kernel Estimation Using Gyro Data -- 2.4 Kernel Refinement -- 2.5 Deconvolution -- 3 Experimental Results -- 4 Conclusion -- References -- Object Searching with Combination of Template Matching -- Abstract -- 1 Introduction -- 2 Conventional Methods -- 3 Proposed Method -- 3.1 Partition Search Area -- 3.2 Object Identification -- 3.3 Adaptive Combination Template Matching -- 4 Experiment Results -- 5 Conclusion -- Acknowledgement -- References -- Multimedia Content Analysis -- Two-Step Greedy Subspace Clustering -- 1 Introduction -- 1.1 Related Work on Subspace Clustering -- 1.2 Paper Contributions.
2 Two-Step Greedy Subspace Clustering -- 2.1 First Step: Initial Subspace Construction -- 2.2 Second Step: Greedy Subspace Clustering -- 3 Experiments -- 3.1 Motion Segmentation -- 3.2 Face Clustering -- 4 Conclusion -- References -- Iterative Collection Annotation for Sketch Recognition -- 1 Introduction -- 2 Overview of Proposed Method -- 3 Sketch Representation and Similarity Measuring Model -- 4 Semi-Supervised Clustering -- 5 Supervision Information Establishment -- 6 Experiments and Results -- 7 Conclusion -- References -- Supervised Dictionary Learning Based on Relationship Between Edges and Levels -- 1 Introduction -- 2 Our Approach -- 2.1 Classical Dictionary Learning -- 2.2 Our Supervised Dictionary Learning -- 2.3 Optimization Algorithm -- 3 Experimental -- 3.1 Data Set -- 3.2 Comparison Methods and Evaluation Criteria -- 3.3 Experimental Results and Analysis -- 4 Conclusions -- References -- Adaptive Margin Nearest Neighbor for Person Re-Identification -- 1 Introduction -- 2 Large Margin Nearest Neighbor -- 3 Adaptive Margin Nearest Neighbor -- 4 Experiment -- 4.1 Experiment Setting -- 4.2 Parameter Selection -- 4.3 Evaluation on VIPeR and CUHK -- 5 Conclusion -- References -- Compressed-Domain Based Camera Motion Estimation for Realtime Action Recognition -- 1 Introduction -- 2 Proposed Method -- 2.1 Camera Model -- 2.2 Estimation of T -- 2.3 Estimation of a -- 2.4 Camera Motion Compensation -- 2.5 Feature Descriptor Extraction -- 3 Experimental Results -- 3.1 GME Evaluation -- 3.2 Feature Descriptor Evaluation -- 4 Conclusion -- References -- Image and Audio Processing -- On the Security of Image Manipulation Forensics -- Abstract -- 1 Introduction -- 2 Understanding and Evaluation of Forensics Security -- 2.1 Image Manipulation Forensics Model -- 2.2 Security Evaluation and Attacks -- 3 A Case Study with Resampling Forging Attack.
4 Experimental Results -- 5 Conclusion -- Acknowledgements -- References -- A Sparse Representation-Based Label Pruning for Image Inpainting Using Global Optimization -- Abstract -- 1 Introduction -- 2 Proposed Label Pruning -- 2.1 Dictionary Construction for Two Target Region Cases -- 2.2 Active Label Selection by Label Pruning -- 3 Experimental Results -- 4 Conclusion -- References -- Interactive RGB-D Image Segmentation Using Hierarchical Graph Cut and Geodesic Distance -- 1 Introduction -- 2 Related Work -- 3 Interactive RGB-D Image Segmentation -- 3.1 Preliminary of Hierarchical Graph Cut -- 3.2 Scale Space Construction -- 3.3 Integration of Color Cue and Depth Cue -- 3.4 Upscaling Boundary Refinement -- 4 Experiments -- 4.1 Datasets and Experimental Settings -- 4.2 Segmentation Accuracy Evaluation -- 4.3 Running Time Evaluation -- 5 Conclusions -- References -- Face Alignment with Two-Layer Shape Regression -- Abstract -- 1 Introduction -- 2 Overview -- 3 Main Work -- 3.1 Key Feature Points of a Component -- 3.2 Two-Layer Geometric Constraint -- 3.3 Sub-shape Selection -- 4 Experimental Results -- 4.1 Comparison with Previous Works -- 5 Conclusion and Future Work -- Acknowledgments -- References -- 3D Panning Based Sound Field Enhancement Method for Ambisonics -- 1 Introduction -- 2 Ambisonics Method -- 3 3D Panning Method with Sound Pressure Constraint at Two Ears -- 4 New Signal Distribution Method -- 4.1 Extension of Loudspeakers Structure -- 4.2 Calculation of the Input Signal -- 4.3 Signal Redistribution -- 4.4 Final Signals -- 5 Experiments -- 5.1 Objective Tests -- 5.2 Subjective Tests -- 6 Conclusion -- References -- Multimedia Applications and Services -- Multi-target Tracking via Max-Entropy Target Selection and Heterogeneous Camera Fusion -- 1 Introduction -- 2 Our Method -- 2.1 Online Multi-target Tracking.
2.2 Active Camera Scheduling -- 2.3 Static and Active Camera Tracklet Association -- 2.4 Final Trajectory Generation -- 3 Experiments -- 3.1 Experiment Setting -- 3.2 Results -- 4 Conclusion -- References -- Adaptive Multiple Appearances Model Framework for Long-Term Robust Tracking -- 1 Introduction -- 2 Related Works -- 3 The Framework of Adaptive Multiple Appearances Model Tracking -- 3.1 Dirichlet Process Mixture Model -- 3.2 Model Inference -- 3.3 AMAM Tracking -- 4 Experiments -- 4.1 The AMAM Modeling -- 4.2 Tracking System -- 5 Conclusion -- References -- On-line Sample Generation for In-air Written Chinese Character Recognition Based on Leap Motion Cont ... -- Abstract -- 1 Introduction -- 2 Writing Trajectory Capturing -- 3 Proposed Method -- 3.1 Off-line Sample Generation -- 3.2 On-line Sample Generation -- 4 Experimental Results -- 5 Conclusion -- References -- Progressive Image Segmentation Using Online Learning -- 1 Introduction -- 2 Overview of Progressive Segmentation Method -- 3 Multi-level Image Representation -- 4 Online Segmentation -- 5 Experimental Result -- 6 Conclusion -- References -- A Study of Interactive Digital Multimedia Applications -- Abstract -- 1 Background -- 2 Unlimited Channel for Communication -- 3 Conclusion -- Acknowledgments -- References -- Video Coding and Processing -- Particle Filter with Ball Size Adaptive Tracking Window and Ball Feature Likelihood Model for Ball's 3D Position Tracking in Volleyball Analysis -- Abstract -- 1 Introduction -- 2 Proposal -- 2.1 Ball Size Adaptive Tracking Window -- 2.2 Volleyball Feature Likelihood Model -- 2.3 Anti-occlusion Likelihood Measurement Method -- 3 Experiment -- 3.1 Tracking Example and Evaluation Method -- 3.2 Result and Comparison Analysis -- 4 Conclusion -- Acknowledgment -- References.
Block-Based Global and Multiple-Reference Scheme for Surveillance Video Coding -- Abstract -- 1 Introduction -- 2 Analysis -- 3 The Proposed Scheme -- 3.1 Block-Based Reference Scheme -- 3.2 Multiple-Reference Scheme -- 3.3 Global Reference Scheme -- 3.4 Costs -- 4 Experimental Results -- 5 Conclusion -- Acknowledgements -- References -- Global Object Representation of Scene Surveillance Video Based on Model and Feature Parameters -- Abstract -- 1 Introduction -- 2 Global Coding Scheme of Scene Surveillance Video -- 2.1 The Generation Mechanism and Features of Global Redundancy -- 2.2 Scene Surveillance Video Global Coding Scheme -- 3 Global Object Representation Based on Model and Feature Parameters -- 3.1 Model and Shape Representation -- 3.2 Location and Pose Representation -- 3.3 Texture Parameters Representation -- 3.4 Illumination Parameters Representation -- 4 Experiments and Results -- 4.1 Experiment 1 -- 4.2 Experiment 2 -- 5 Conclusions -- References -- A Sparse Error Compensation Based Incremental Principal Component Analysis Method for Foreground Detection -- 1 Introduction -- 2 Foreground Detection via Sparse Error Compensation Based Incremental PCA -- 2.1 The Proposed Subspace Based Foreground Detection Model -- 2.2 Two-Step Optimization Algorithm -- 3 Experiments -- 4 Conclusion -- References -- Multimedia Representation Learning -- Convolutional Neural Networks Features: Principal Pyramidal Convolution -- Abstract -- 1 Introduction -- 2 Principal Pyramidal Convolution -- 3 Experiment -- 3.1 Datasets -- 3.2 Comparisons on Different Networks -- 3.3 Comparisons on Different Dimensions -- 4 Conclusion -- References -- Gaze Shifting Kernel: Engineering Perceptually- Aware Features for Scene Categorization -- 1 Introduction -- 2 Related Work -- 3 The Proposed Gaze Shifting Kernel -- 3.1 Low-Level and High-Level Descriptions of Graphlets.
3.2 Sparsity-Constrained Graphlets Ranking.
Record Nr. UNISA-996466468103316
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Advances in Multimedia Information Processing -- PCM 2015 [[electronic resource] ] : 16th Pacific-Rim Conference on Multimedia, Gwangju, South Korea, September 16-18, 2015, Proceedings, Part II / / edited by Yo-Sung Ho, Jitao Sang, Yong Man Ro, Junmo Kim, Fei Wu
Advances in Multimedia Information Processing -- PCM 2015 [[electronic resource] ] : 16th Pacific-Rim Conference on Multimedia, Gwangju, South Korea, September 16-18, 2015, Proceedings, Part II / / edited by Yo-Sung Ho, Jitao Sang, Yong Man Ro, Junmo Kim, Fei Wu
Edizione [1st ed. 2015.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015
Descrizione fisica 1 online resource (XXIII, 683 p. 357 illus. in color.)
Disciplina 004.6068
Collana Information Systems and Applications, incl. Internet/Web, and HCI
Soggetto topico Multimedia information systems
Application software
Optical data processing
Pattern recognition
Data mining
User interfaces (Computer systems)
Multimedia Information Systems
Information Systems Applications (incl. Internet)
Image Processing and Computer Vision
Pattern Recognition
Data Mining and Knowledge Discovery
User Interfaces and Human Computer Interaction
ISBN 3-319-24078-1
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910483333403321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Computer Vision - ACCV 2012 Workshops [[electronic resource] ] : ACCV 2012 International Workshops, Daejeon, Korea, November 5-6, 2012. Revised Selected Papers, Part II / / edited by Jong-Il Park, Junmo Kim
Computer Vision - ACCV 2012 Workshops [[electronic resource] ] : ACCV 2012 International Workshops, Daejeon, Korea, November 5-6, 2012. Revised Selected Papers, Part II / / edited by Jong-Il Park, Junmo Kim
Edizione [1st ed. 2013.]
Pubbl/distr/stampa Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2013
Descrizione fisica 1 online resource (XXXIV, 609 p. 318 illus.)
Disciplina 006.6
Collana Image Processing, Computer Vision, Pattern Recognition, and Graphics
Soggetto topico Optical data processing
User interfaces (Computer systems)
Multimedia systems 
Geometry
Computer Imaging, Vision, Pattern Recognition and Graphics
User Interfaces and Human Computer Interaction
Media Design
ISBN 3-642-37484-0
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Historical Document Binarization Based on Phase Information of Images -- Can Modern Technologies Defeat Nazi Censorship? -- Coarse-to-Fine Correspondence Search for Classifying Ancient Coins -- Archiving Mural Paintings Using an Ontology Based Approach -- Robust Image Deblurring Using Hyper Laplacian Model -- SVD Based Automatic Detection of Target Regions for Image Inpainting -- Presentation of Japanese Cultural Event Using Virtual Reality -- High-Resolution and Multi-spectral Capturing for Digital Archiving of Large 3D Woven Cultural Artifacts -- Exploring High-Level Plane Primitives for Indoor 3D Reconstruction with a Hand-held RGB-D Camera -- A Fusion Framework of Stereo Vision and Kinect for High-Quality Dense Depth Maps -- Robust Fall Detection by Combining 3D Data and Fuzzy Logic -- KinectAvatar: Fully Automatic Body Capture Using a Single Kinect -- Essential Body-Joint and Atomic Action Detection for Human Activity -- Recognition Using Longest Common Subsequence Algorithm -- Exploiting Depth and Intensity Information for Head Pose Estimation with Random Forests and Tensor Models -- Dynamic Hand Shape Manifold Embedding and Tracking from Depth Maps -- View-Invariant Object Detection by Matching 3D Contours -- Human Detection with Occlusion Handling by Over-Segmentation and Clustering on Foreground Regions -- Spin Image Revisited: Fast Candidate Selection Using Outlier Forest Search -- MRF Guided Anisotropic Depth Diffusion for Kinect Range Image Enhancement -- A Priori-Driven PCA -- The Face Speaks: Contextual and Temporal Sensitivity to Backchannel Responses -- Virtual View Generation Using Clustering Based Local View Transition Model -- 3D Facial Expression Synthesis from a Single Image Using a Model Set -- Face Hallucination on Personal Photo Albums -- Techniques for Mimicry and Identity Blending Using Morph Space PCA -- Facial and Vocal Cues in Perceptions of Trustworthiness -- Disagreement-Based Multi-system Tracking -- Monocular Pedestrian Tracking from a Moving Vehicle -- Tracking the Untrackable : How to Track When Your Object Is Featureless -- A Robust Particle Tracker via Markov Chain Monte Carlo Posterior Sampling -- A Framework for Inter-camera Association of Multi-target Trajectories by Invariant Target Models -- Colour Descriptors for Tracking in Spatial Augmented Reality -- Covariance Descriptor Multiple Object Tracking and Re-identification with Colorspace Evaluation -- Iterative Hypothesis Testing for Multi-object Tracking with Noisy/Missing Appearance Features -- Novel Adaptive Eye Detection and Tracking for Challenging Lighting Conditions -- Obstacles Extraction Using a Moving Camera -- Scene Text Detection and Tracking for a Camera-Equipped Wearable Reading Assistant for the Blind -- Object Tracking across Non-overlapping Cameras Using Adaptive Models -- Combining Fast Extracted Edge Descriptors and Feature Sharing for Rapid Object Detection -- Motion Segmentation by Velocity Clustering with Estimation of Subspace Dimension -- Beyond Spatial Pyramid Matching: Spatial Soft Voting for Image Classification -- Efficient Geometric Re-ranking for Mobile Visual Search -- Intelligent Photographing Interface with On-Device Aesthetic Quality Assessment -- Camera Pose Estimation of a Smartphone at a Field without Interest Points -- Hierarchical Scan-Line Dynamic Programming for Optical Flow Using Semi-global Matching Novel Multi-view Synthesis from a Stereo Image Pair for 3D Display on Mobile Phone -- An Accurate Method for Line Detection and Manhattan Frame Estimation -- Hierarchical Stereo Matching Based on Image Bit-Plane Slicing.
Record Nr. UNISA-996466191503316
Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2013
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Computer Vision - ACCV 2012 Workshops [[electronic resource] ] : ACCV 2012 International Workshops, Daejeon, Korea, November 5-6, 2012. Revised Selected Papers, Part I / / edited by Jong-Il Park, Junmo Kim
Computer Vision - ACCV 2012 Workshops [[electronic resource] ] : ACCV 2012 International Workshops, Daejeon, Korea, November 5-6, 2012. Revised Selected Papers, Part I / / edited by Jong-Il Park, Junmo Kim
Edizione [1st ed. 2013.]
Pubbl/distr/stampa Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2013
Descrizione fisica 1 online resource (XXXIV, 335 p. 173 illus.)
Disciplina 006.6
Collana Image Processing, Computer Vision, Pattern Recognition, and Graphics
Soggetto topico Optical data processing
User interfaces (Computer systems)
Multimedia systems 
Geometry
Computer Imaging, Vision, Pattern Recognition and Graphics
User Interfaces and Human Computer Interaction
Media Design
ISBN 3-642-37410-7
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Binary Patterns -- Rotation Invariant Co-occurrence among Adjacent LBPs -- 3D LBP-Based Rotationally Invariant Region Description -- Dynamic Texture Synthesis in Space with a Spatio-temporal Descriptor -- Adaptive Kernel Size Selection for Correntropy Based Metric -- Vitality Assessment of Boar Sperm Using an Adaptive LBP Based on Oriented Deviation -- Background Subtraction Based on Multi-channel SILTP -- Elliptical Local Binary Patterns for Face Recognition -- Block LBP Displacement Based Local Matching Approach for Human Face Recognition -- Face Recognition with Learned Local Curvelet Patterns and 2-Directional L1-Norm Based 2DPCA -- LBP–TOP Based Countermeasure against Face Spoofing Attacks -- An Efficient LBP-Based Descriptor for Facial Depth Images Applied to Gender Recognition Using RGB-D Face Data -- Face Spoofing Detection Using Dynamic Texture -- Class-Specified Segmentation with Multi-scale Superpixels -- A Flexible Auto White Balance Based on Histogram Overlap -- Region Segmentation and Object Extraction Based on Virtual Edge and Global Features -- Adaptive Sampling for Low Latency Vision Processing -- Colorimetric Correction for Stereoscopic Camera Arrays -- Camera Calibration Using Vertical Lines -- Vehicle Localization Using Omnidirectional Camera with GPS Supporting in Wide Urban Area -- Efficient Development of User-Defined Image Recognition Systems -- Transforming Cluster-Based Segmentation for Use in OpenVL by Mainstream Developers -- Efficient GPU Implementation of the Integral Histogram -- Play Estimation with Motions and Textures in Space-Time Map Description -- A Benchmark Dataset for Outdoor Foreground/Background Extraction -- One-Class Background Model -- Illumination Invariant Background Model Using Mixture of Gaussians and SURF Features -- Foreground Detection via Robust Low Rank Matrix Decomposition Including Spatio-Temporal Constraint -- Temporal Saliency for Fast Motion Detection -- Background Model Based on Statistical Local Difference Pattern.
Record Nr. UNISA-996465592403316
Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2013
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Computer Vision - ACCV 2012 Workshops [[electronic resource] ] : ACCV 2012 International Workshops, Daejeon, Korea, November 5-6, 2012. Revised Selected Papers, Part I / / edited by Jong-Il Park, Junmo Kim
Computer Vision - ACCV 2012 Workshops [[electronic resource] ] : ACCV 2012 International Workshops, Daejeon, Korea, November 5-6, 2012. Revised Selected Papers, Part I / / edited by Jong-Il Park, Junmo Kim
Edizione [1st ed. 2013.]
Pubbl/distr/stampa Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2013
Descrizione fisica 1 online resource (XXXIV, 335 p. 173 illus.)
Disciplina 006.6
Collana Image Processing, Computer Vision, Pattern Recognition, and Graphics
Soggetto topico Optical data processing
User interfaces (Computer systems)
Multimedia systems 
Geometry
Computer Imaging, Vision, Pattern Recognition and Graphics
User Interfaces and Human Computer Interaction
Media Design
ISBN 3-642-37410-7
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Binary Patterns -- Rotation Invariant Co-occurrence among Adjacent LBPs -- 3D LBP-Based Rotationally Invariant Region Description -- Dynamic Texture Synthesis in Space with a Spatio-temporal Descriptor -- Adaptive Kernel Size Selection for Correntropy Based Metric -- Vitality Assessment of Boar Sperm Using an Adaptive LBP Based on Oriented Deviation -- Background Subtraction Based on Multi-channel SILTP -- Elliptical Local Binary Patterns for Face Recognition -- Block LBP Displacement Based Local Matching Approach for Human Face Recognition -- Face Recognition with Learned Local Curvelet Patterns and 2-Directional L1-Norm Based 2DPCA -- LBP–TOP Based Countermeasure against Face Spoofing Attacks -- An Efficient LBP-Based Descriptor for Facial Depth Images Applied to Gender Recognition Using RGB-D Face Data -- Face Spoofing Detection Using Dynamic Texture -- Class-Specified Segmentation with Multi-scale Superpixels -- A Flexible Auto White Balance Based on Histogram Overlap -- Region Segmentation and Object Extraction Based on Virtual Edge and Global Features -- Adaptive Sampling for Low Latency Vision Processing -- Colorimetric Correction for Stereoscopic Camera Arrays -- Camera Calibration Using Vertical Lines -- Vehicle Localization Using Omnidirectional Camera with GPS Supporting in Wide Urban Area -- Efficient Development of User-Defined Image Recognition Systems -- Transforming Cluster-Based Segmentation for Use in OpenVL by Mainstream Developers -- Efficient GPU Implementation of the Integral Histogram -- Play Estimation with Motions and Textures in Space-Time Map Description -- A Benchmark Dataset for Outdoor Foreground/Background Extraction -- One-Class Background Model -- Illumination Invariant Background Model Using Mixture of Gaussians and SURF Features -- Foreground Detection via Robust Low Rank Matrix Decomposition Including Spatio-Temporal Constraint -- Temporal Saliency for Fast Motion Detection -- Background Model Based on Statistical Local Difference Pattern.
Record Nr. UNINA-9910484822403321
Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2013
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Computer Vision - ACCV 2012 Workshops [[electronic resource] ] : ACCV 2012 International Workshops, Daejeon, Korea, November 5-6, 2012. Revised Selected Papers, Part II / / edited by Jong-Il Park, Junmo Kim
Computer Vision - ACCV 2012 Workshops [[electronic resource] ] : ACCV 2012 International Workshops, Daejeon, Korea, November 5-6, 2012. Revised Selected Papers, Part II / / edited by Jong-Il Park, Junmo Kim
Edizione [1st ed. 2013.]
Pubbl/distr/stampa Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2013
Descrizione fisica 1 online resource (XXXIV, 609 p. 318 illus.)
Disciplina 006.6
Collana Image Processing, Computer Vision, Pattern Recognition, and Graphics
Soggetto topico Optical data processing
User interfaces (Computer systems)
Multimedia systems 
Geometry
Computer Imaging, Vision, Pattern Recognition and Graphics
User Interfaces and Human Computer Interaction
Media Design
ISBN 3-642-37484-0
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Historical Document Binarization Based on Phase Information of Images -- Can Modern Technologies Defeat Nazi Censorship? -- Coarse-to-Fine Correspondence Search for Classifying Ancient Coins -- Archiving Mural Paintings Using an Ontology Based Approach -- Robust Image Deblurring Using Hyper Laplacian Model -- SVD Based Automatic Detection of Target Regions for Image Inpainting -- Presentation of Japanese Cultural Event Using Virtual Reality -- High-Resolution and Multi-spectral Capturing for Digital Archiving of Large 3D Woven Cultural Artifacts -- Exploring High-Level Plane Primitives for Indoor 3D Reconstruction with a Hand-held RGB-D Camera -- A Fusion Framework of Stereo Vision and Kinect for High-Quality Dense Depth Maps -- Robust Fall Detection by Combining 3D Data and Fuzzy Logic -- KinectAvatar: Fully Automatic Body Capture Using a Single Kinect -- Essential Body-Joint and Atomic Action Detection for Human Activity -- Recognition Using Longest Common Subsequence Algorithm -- Exploiting Depth and Intensity Information for Head Pose Estimation with Random Forests and Tensor Models -- Dynamic Hand Shape Manifold Embedding and Tracking from Depth Maps -- View-Invariant Object Detection by Matching 3D Contours -- Human Detection with Occlusion Handling by Over-Segmentation and Clustering on Foreground Regions -- Spin Image Revisited: Fast Candidate Selection Using Outlier Forest Search -- MRF Guided Anisotropic Depth Diffusion for Kinect Range Image Enhancement -- A Priori-Driven PCA -- The Face Speaks: Contextual and Temporal Sensitivity to Backchannel Responses -- Virtual View Generation Using Clustering Based Local View Transition Model -- 3D Facial Expression Synthesis from a Single Image Using a Model Set -- Face Hallucination on Personal Photo Albums -- Techniques for Mimicry and Identity Blending Using Morph Space PCA -- Facial and Vocal Cues in Perceptions of Trustworthiness -- Disagreement-Based Multi-system Tracking -- Monocular Pedestrian Tracking from a Moving Vehicle -- Tracking the Untrackable : How to Track When Your Object Is Featureless -- A Robust Particle Tracker via Markov Chain Monte Carlo Posterior Sampling -- A Framework for Inter-camera Association of Multi-target Trajectories by Invariant Target Models -- Colour Descriptors for Tracking in Spatial Augmented Reality -- Covariance Descriptor Multiple Object Tracking and Re-identification with Colorspace Evaluation -- Iterative Hypothesis Testing for Multi-object Tracking with Noisy/Missing Appearance Features -- Novel Adaptive Eye Detection and Tracking for Challenging Lighting Conditions -- Obstacles Extraction Using a Moving Camera -- Scene Text Detection and Tracking for a Camera-Equipped Wearable Reading Assistant for the Blind -- Object Tracking across Non-overlapping Cameras Using Adaptive Models -- Combining Fast Extracted Edge Descriptors and Feature Sharing for Rapid Object Detection -- Motion Segmentation by Velocity Clustering with Estimation of Subspace Dimension -- Beyond Spatial Pyramid Matching: Spatial Soft Voting for Image Classification -- Efficient Geometric Re-ranking for Mobile Visual Search -- Intelligent Photographing Interface with On-Device Aesthetic Quality Assessment -- Camera Pose Estimation of a Smartphone at a Field without Interest Points -- Hierarchical Scan-Line Dynamic Programming for Optical Flow Using Semi-global Matching Novel Multi-view Synthesis from a Stereo Image Pair for 3D Display on Mobile Phone -- An Accurate Method for Line Detection and Manhattan Frame Estimation -- Hierarchical Stereo Matching Based on Image Bit-Plane Slicing.
Record Nr. UNINA-9910739478903321
Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2013
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Multi-disciplinary trends in artificial intelligence : 14th International Conference, MIWAI 2021, virtual event, July 2-3, 2021 : proceedings / / Phatthanaphong Chomphuwiset, Junmo Kim, Pornntiwa Pawara (editors)
Multi-disciplinary trends in artificial intelligence : 14th International Conference, MIWAI 2021, virtual event, July 2-3, 2021 : proceedings / / Phatthanaphong Chomphuwiset, Junmo Kim, Pornntiwa Pawara (editors)
Pubbl/distr/stampa Cham, Switzerland : , : Springer, , [2021]
Descrizione fisica 1 online resource (202 pages)
Disciplina 006.3
Collana Lecture Notes in Artificial Intelligence
Soggetto topico Artificial intelligence
ISBN 3-030-80253-1
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Intro -- Preface -- Organization -- Bias, Trust, and Doing Good: The Impacts of Digital Technology on Human Ethics, and Vice Versa (Abstract of Keynote Speaker) -- Contents -- 3D Point Cloud Upsampling and Colorization Using GAN -- 1 Introduction -- 2 Related Work -- 3 Method -- 3.1 Data Pre-processing -- 3.2 Network Architecture -- 3.3 Objective -- 3.4 Post-processing -- 4 Experiments -- 4.1 Dataset -- 4.2 Implementation Details -- 4.3 Upsampling and Colorization Results -- 4.4 Only Colorization Results -- 4.5 Ablation Study -- 5 Evaluation -- 5.1 Evaluation Metrics -- 5.2 Evaluation Results -- 6 Conclusion and Discussion -- References -- Learning Behavioral Rules from Multi-Agent Simulations for Optimizing Hospital Processes -- 1 Introduction -- 1.1 Motivation -- 1.2 Related Work -- 2 Mutli-agent Simulation Setting -- 2.1 Scenario Description -- 2.2 Modeling of the Scenario -- 2.3 Simulation Results as Gantt Charts -- 3 Alternative Solution: Learning Behavioral Rules -- 3.1 Preliminaries -- 3.2 An Advanced Algorithm for Learning HKBs from Data -- 3.3 Application in the Hospital Process Multi-agent Simulation Setting -- 4 Demonstration and Basic Evaluation -- 5 Conclusion and Future Work -- References -- An Open-World Novelty Generator for Authoring Reinforcement Learning Environment of Standardized Toolkits -- 1 Introduction -- 2 System Architecture -- 3 Experimental Results -- 3.1 Domain Editor Results -- 3.2 Environment Editor Results -- 4 Discussion and Future Work -- References -- Book Cover and Content Similarity Retrieval Using Computer Vision and NLP Techniques -- 1 Introduction -- 2 Literature Review -- 3 Proposed Method -- 3.1 Image Preprocessing -- 3.2 Feature Extraction Using Speed-Up Robust Features (SURF Descriptor) -- 3.3 Word Segmentation -- 3.4 Stop Word Removal -- 3.5 Feature Generation -- 3.6 Similarity Measurements.
3.7 Performance Evaluation -- 4 Experiment and Result -- 5 Conclusion -- References -- Fast Classification Learning with Neural Networks and Conceptors for Speech Recognition and Car Driving Maneuvers -- 1 Introduction -- 2 Background and Related Works -- 2.1 Recurrent Neural Networks -- 2.2 Echo State Networks and Conceptors -- 3 Classification with Conceptors -- 3.1 Conceptor Algebra -- 3.2 Classification -- 4 Case Studies -- 4.1 Speech Recognition -- 4.2 Car Driving Maneuvers -- 5 Evaluation -- 5.1 Speech Recognition -- 5.2 Car Driving Maneuvers -- 5.3 Identifying Essential Factors -- 6 Conclusions -- References -- Feature Group Importance for Automated Essay Scoring -- 1 Introduction -- 2 Related Work -- 3 Evaluation Methodology -- 3.1 Data Preprocessing -- 3.2 Learning Algorithms -- 3.3 Evaluation Metric for Learning Algorithm -- 3.4 Experimental Setup -- 3.5 Feature Influence -- 3.6 Feature Selection -- 4 Results and Discussion -- 4.1 QWK Scores Result for Comparison -- 4.2 Feature Selection Results -- 5 Conclusion -- References -- Feature Extraction Efficient for Face Verification Based on Residual Network Architecture -- 1 Introduction -- 2 Related Work -- 3 The Proposed Face Verification System -- 3.1 Ace Detection Using MMOD + CNN -- 3.2 Deep Feature Extraction Using ResNet-50 Architecture -- 4 Experiments -- 4.1 Face Databases -- 4.2 Evaluation Metrics -- 4.3 Evaluation -- 4.4 Discussion -- 5 Conclusion -- References -- Acquiring Input Features from Stock Market Summaries: A NLG Perspective -- 1 Introduction -- 2 Related Work -- 3 Dataset and Problem Formulation -- 3.1 Preliminary -- 3.2 Market Summaries Preprocessing -- 3.3 Dataset Statistics -- 3.4 Generating Input Features -- 3.5 Linearization -- 4 Experimental Setup -- 4.1 Results -- 4.2 Human Evaluation -- 4.3 Discussion and and Error Analysis -- 5 Conclusion -- References.
A Comparative of a New Hybrid Based on Neural Networks and SARIMA Models for Time Series Forecasting -- 1 Introduction -- 2 Methodology -- 2.1 Decomposition Method -- 2.2 Seasonal Autoregressive Integrated Moving Average (SARIMA) Model -- 2.3 Artificial Neural Network (ANN) -- 2.4 Radial Basis Function (RBF) -- 2.5 Proposed Method -- 3 Data Preparation and Model Evaluation Criteria -- 3.1 Data Descriptions and Data Preparation -- 3.2 Model Evaluation Criteria -- 4 Results and Discussion -- 5 Conclusion and Future Research -- 5.1 Conclusion -- 5.2 Future Research -- References -- Cartpole Problem with PDL and GP Using Multi-objective Fitness Functions Differing in a Priori Knowledge -- 1 Introduction -- 2 Cartpole Problem with Pdl -- 2.1 PDL and Genetic Programming -- 2.2 Experiment & -- Fitness Function Design -- 3 Results -- 4 Conclusions and Future Work -- References -- Learning Robot Arm Controls Using Augmented Random Search in Simulated Environments -- 1 Introduction -- 2 Estimating Policy Using Random Search -- 2.1 Policy Space Search Using Augmented Random Search -- 3 Empirical Set up Using Robot Arm Domain -- 3.1 Designing Robot Arm-Reaching Tasks -- 3.2 State Representations -- 3.3 Training a Robot Arm Using ARS -- 4 Empirical Results and Discussion -- 5 Conclusion -- References -- An Analytical Evaluation of a Deep Learning Model to Detect Network Intrusion -- 1 Introduction -- 2 Literature Review -- 3 Dataset Overview -- 4 Research Methodology -- 4.1 Preprocessing -- 4.2 Feature Selection -- 4.3 Class Imbalance Handling -- 4.4 Long Short Term Memory (LSTM) -- 4.5 Machine Learning Models -- 5 Results and Discussions -- 6 Conclusion -- References -- Application of Machine Learning Techniques to Predict Breast Cancer Survival -- 1 Introduction -- 2 Material and Method -- 2.1 Machine Learning Techniques -- 2.2 Methods.
3 Experiment Results -- 3.1 Insight Model Performance -- 3.2 Overall Model Performance -- 4 Discussion and Conclusion -- References -- Thai Handwritten Recognition on BEST2019 Datasets Using Deep Learning -- 1 Introduction -- 2 Related Works -- 2.1 Thai Language Property -- 2.2 Thai Handwritten Recognition -- 3 The Datasets -- 4 Methodology of Thai Handwritten Recognition -- 4.1 Text Localization -- 4.2 Model Generation -- 4.3 Connectionist Temporal Classification (CTC) -- 4.4 Character Error Rate (CER) -- 5 Experiment and Results -- 6 Conclusion -- References -- Comparing of Multi-class Text Classification Methods for Automatic Ratings of Consumer Reviews -- 1 Introduction -- 2 Related Work -- 3 Dataset -- 4 The Method of Multi-class Classifiers Modelling -- 4.1 Pre-processing of Movie Reviews -- 4.2 Feature Selection and Text Representation -- 4.3 Term Weighting -- 4.4 Multi-class Classifiers Modelling -- 5 Experimental Results -- 6 Conclusion -- References -- Improving Safety and Efficiency for Navigation in Multiagent Systems -- 1 Introduction -- 2 Fundamentals -- 2.1 Reciprocal Velocity Obstacles (RVO) -- 2.2 3D Reciprocal Velocity Obstacle (3DRVO) -- 2.3 Three Dimensional Collision Avoidance -- 3 Believe-Desire-Intention Architecture -- 3.1 Planning Strategy with Sub-goal -- 4 K-D Tree Algorithms -- 4.1 3D-Tree Algorithms -- 5 Experiment and Results -- 5.1 The Scenes -- 5.2 Results -- 6 Conclusion and Future Work -- References -- Correction to: Thai Handwritten Recognition on BEST2019 Datasets Using Deep Learning -- Correction to: Chapter "Thai Handwritten Recognition on BEST2019 Datasets Using Deep Learning" in: P. Chomphuwiset et al. (Eds.): Multi-disciplinary Trends in Artificial Intelligence, LNAI 12832, https://doi.org/10.1007/978-3-030-80253-0_14 -- Author Index.
Record Nr. UNISA-996464509903316
Cham, Switzerland : , : Springer, , [2021]
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Multi-disciplinary trends in artificial intelligence : 14th International Conference, MIWAI 2021, virtual event, July 2-3, 2021 : proceedings / / Phatthanaphong Chomphuwiset, Junmo Kim, Pornntiwa Pawara (editors)
Multi-disciplinary trends in artificial intelligence : 14th International Conference, MIWAI 2021, virtual event, July 2-3, 2021 : proceedings / / Phatthanaphong Chomphuwiset, Junmo Kim, Pornntiwa Pawara (editors)
Pubbl/distr/stampa Cham, Switzerland : , : Springer, , [2021]
Descrizione fisica 1 online resource (202 pages)
Disciplina 006.3
Collana Lecture Notes in Artificial Intelligence
Soggetto topico Artificial intelligence
ISBN 3-030-80253-1
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Intro -- Preface -- Organization -- Bias, Trust, and Doing Good: The Impacts of Digital Technology on Human Ethics, and Vice Versa (Abstract of Keynote Speaker) -- Contents -- 3D Point Cloud Upsampling and Colorization Using GAN -- 1 Introduction -- 2 Related Work -- 3 Method -- 3.1 Data Pre-processing -- 3.2 Network Architecture -- 3.3 Objective -- 3.4 Post-processing -- 4 Experiments -- 4.1 Dataset -- 4.2 Implementation Details -- 4.3 Upsampling and Colorization Results -- 4.4 Only Colorization Results -- 4.5 Ablation Study -- 5 Evaluation -- 5.1 Evaluation Metrics -- 5.2 Evaluation Results -- 6 Conclusion and Discussion -- References -- Learning Behavioral Rules from Multi-Agent Simulations for Optimizing Hospital Processes -- 1 Introduction -- 1.1 Motivation -- 1.2 Related Work -- 2 Mutli-agent Simulation Setting -- 2.1 Scenario Description -- 2.2 Modeling of the Scenario -- 2.3 Simulation Results as Gantt Charts -- 3 Alternative Solution: Learning Behavioral Rules -- 3.1 Preliminaries -- 3.2 An Advanced Algorithm for Learning HKBs from Data -- 3.3 Application in the Hospital Process Multi-agent Simulation Setting -- 4 Demonstration and Basic Evaluation -- 5 Conclusion and Future Work -- References -- An Open-World Novelty Generator for Authoring Reinforcement Learning Environment of Standardized Toolkits -- 1 Introduction -- 2 System Architecture -- 3 Experimental Results -- 3.1 Domain Editor Results -- 3.2 Environment Editor Results -- 4 Discussion and Future Work -- References -- Book Cover and Content Similarity Retrieval Using Computer Vision and NLP Techniques -- 1 Introduction -- 2 Literature Review -- 3 Proposed Method -- 3.1 Image Preprocessing -- 3.2 Feature Extraction Using Speed-Up Robust Features (SURF Descriptor) -- 3.3 Word Segmentation -- 3.4 Stop Word Removal -- 3.5 Feature Generation -- 3.6 Similarity Measurements.
3.7 Performance Evaluation -- 4 Experiment and Result -- 5 Conclusion -- References -- Fast Classification Learning with Neural Networks and Conceptors for Speech Recognition and Car Driving Maneuvers -- 1 Introduction -- 2 Background and Related Works -- 2.1 Recurrent Neural Networks -- 2.2 Echo State Networks and Conceptors -- 3 Classification with Conceptors -- 3.1 Conceptor Algebra -- 3.2 Classification -- 4 Case Studies -- 4.1 Speech Recognition -- 4.2 Car Driving Maneuvers -- 5 Evaluation -- 5.1 Speech Recognition -- 5.2 Car Driving Maneuvers -- 5.3 Identifying Essential Factors -- 6 Conclusions -- References -- Feature Group Importance for Automated Essay Scoring -- 1 Introduction -- 2 Related Work -- 3 Evaluation Methodology -- 3.1 Data Preprocessing -- 3.2 Learning Algorithms -- 3.3 Evaluation Metric for Learning Algorithm -- 3.4 Experimental Setup -- 3.5 Feature Influence -- 3.6 Feature Selection -- 4 Results and Discussion -- 4.1 QWK Scores Result for Comparison -- 4.2 Feature Selection Results -- 5 Conclusion -- References -- Feature Extraction Efficient for Face Verification Based on Residual Network Architecture -- 1 Introduction -- 2 Related Work -- 3 The Proposed Face Verification System -- 3.1 Ace Detection Using MMOD + CNN -- 3.2 Deep Feature Extraction Using ResNet-50 Architecture -- 4 Experiments -- 4.1 Face Databases -- 4.2 Evaluation Metrics -- 4.3 Evaluation -- 4.4 Discussion -- 5 Conclusion -- References -- Acquiring Input Features from Stock Market Summaries: A NLG Perspective -- 1 Introduction -- 2 Related Work -- 3 Dataset and Problem Formulation -- 3.1 Preliminary -- 3.2 Market Summaries Preprocessing -- 3.3 Dataset Statistics -- 3.4 Generating Input Features -- 3.5 Linearization -- 4 Experimental Setup -- 4.1 Results -- 4.2 Human Evaluation -- 4.3 Discussion and and Error Analysis -- 5 Conclusion -- References.
A Comparative of a New Hybrid Based on Neural Networks and SARIMA Models for Time Series Forecasting -- 1 Introduction -- 2 Methodology -- 2.1 Decomposition Method -- 2.2 Seasonal Autoregressive Integrated Moving Average (SARIMA) Model -- 2.3 Artificial Neural Network (ANN) -- 2.4 Radial Basis Function (RBF) -- 2.5 Proposed Method -- 3 Data Preparation and Model Evaluation Criteria -- 3.1 Data Descriptions and Data Preparation -- 3.2 Model Evaluation Criteria -- 4 Results and Discussion -- 5 Conclusion and Future Research -- 5.1 Conclusion -- 5.2 Future Research -- References -- Cartpole Problem with PDL and GP Using Multi-objective Fitness Functions Differing in a Priori Knowledge -- 1 Introduction -- 2 Cartpole Problem with Pdl -- 2.1 PDL and Genetic Programming -- 2.2 Experiment & -- Fitness Function Design -- 3 Results -- 4 Conclusions and Future Work -- References -- Learning Robot Arm Controls Using Augmented Random Search in Simulated Environments -- 1 Introduction -- 2 Estimating Policy Using Random Search -- 2.1 Policy Space Search Using Augmented Random Search -- 3 Empirical Set up Using Robot Arm Domain -- 3.1 Designing Robot Arm-Reaching Tasks -- 3.2 State Representations -- 3.3 Training a Robot Arm Using ARS -- 4 Empirical Results and Discussion -- 5 Conclusion -- References -- An Analytical Evaluation of a Deep Learning Model to Detect Network Intrusion -- 1 Introduction -- 2 Literature Review -- 3 Dataset Overview -- 4 Research Methodology -- 4.1 Preprocessing -- 4.2 Feature Selection -- 4.3 Class Imbalance Handling -- 4.4 Long Short Term Memory (LSTM) -- 4.5 Machine Learning Models -- 5 Results and Discussions -- 6 Conclusion -- References -- Application of Machine Learning Techniques to Predict Breast Cancer Survival -- 1 Introduction -- 2 Material and Method -- 2.1 Machine Learning Techniques -- 2.2 Methods.
3 Experiment Results -- 3.1 Insight Model Performance -- 3.2 Overall Model Performance -- 4 Discussion and Conclusion -- References -- Thai Handwritten Recognition on BEST2019 Datasets Using Deep Learning -- 1 Introduction -- 2 Related Works -- 2.1 Thai Language Property -- 2.2 Thai Handwritten Recognition -- 3 The Datasets -- 4 Methodology of Thai Handwritten Recognition -- 4.1 Text Localization -- 4.2 Model Generation -- 4.3 Connectionist Temporal Classification (CTC) -- 4.4 Character Error Rate (CER) -- 5 Experiment and Results -- 6 Conclusion -- References -- Comparing of Multi-class Text Classification Methods for Automatic Ratings of Consumer Reviews -- 1 Introduction -- 2 Related Work -- 3 Dataset -- 4 The Method of Multi-class Classifiers Modelling -- 4.1 Pre-processing of Movie Reviews -- 4.2 Feature Selection and Text Representation -- 4.3 Term Weighting -- 4.4 Multi-class Classifiers Modelling -- 5 Experimental Results -- 6 Conclusion -- References -- Improving Safety and Efficiency for Navigation in Multiagent Systems -- 1 Introduction -- 2 Fundamentals -- 2.1 Reciprocal Velocity Obstacles (RVO) -- 2.2 3D Reciprocal Velocity Obstacle (3DRVO) -- 2.3 Three Dimensional Collision Avoidance -- 3 Believe-Desire-Intention Architecture -- 3.1 Planning Strategy with Sub-goal -- 4 K-D Tree Algorithms -- 4.1 3D-Tree Algorithms -- 5 Experiment and Results -- 5.1 The Scenes -- 5.2 Results -- 6 Conclusion and Future Work -- References -- Correction to: Thai Handwritten Recognition on BEST2019 Datasets Using Deep Learning -- Correction to: Chapter "Thai Handwritten Recognition on BEST2019 Datasets Using Deep Learning" in: P. Chomphuwiset et al. (Eds.): Multi-disciplinary Trends in Artificial Intelligence, LNAI 12832, https://doi.org/10.1007/978-3-030-80253-0_14 -- Author Index.
Record Nr. UNINA-9910488710203321
Cham, Switzerland : , : Springer, , [2021]
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui