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Format: 1 Online-Ressource (XXIV, 565 p. 208 illus., 165 illus. in color).

Edition: 1st ed. 2022

ISBN: 978-3-031-13324-4

Series Statement: Lecture Notes in Computer Science 13374

Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-031-13323-7

Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-031-13325-1

Language: English

Keywords: Konferenzschrift ; Konferenzschrift

DOI: 10.1007/978-3-031-13324-4

URL: Volltext  (URL des Erstveröffentlichers)

URL: Volltext  (URL des Erstveröffentlichers)

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Format: XXIV, 565 p. 208 illus., 165 illus. in color. , online resource.

Edition: 1st ed. 2022.

ISBN: 9783031133244

Series Statement: Lecture Notes in Computer Science, 13374

Content: The two-volume set LNCS 13373 and 13374 constitutes the papers of several workshops which were held in conjunction with the 21st International Conference on Image Analysis and Processing, ICIAP 2022, held in Lecce, Italy, in May 2022. The 96 revised full papers presented in the proceedings set were carefully reviewed and selected from 157 submissions. ICIAP 2022 presents the following Sixteen workshops: Volume I: GoodBrother workshop on visual intelligence for active and assisted living Parts can worth like the Whole - PART 2022 Workshop on Fine Art Pattern Extraction and Recognition - FAPER Workshop on Intelligent Systems in Human and Artificial Perception - ISHAPE 2022 Artificial Intelligence and Radiomics in Computer-Aided Diagnosis - AIRCAD Deep-Learning and High Performance Computing to Boost Biomedical Applications - DeepHealth Volume II: Human Behaviour Analysis for Smart City Environment Safety - HBAxSCES Binary is the new Black (and White): Recent Advances on Binary Image Processing Artificial Intelligence for preterm infants' healthCare - AI-care Towards a Complete Analysis of People: From Face and Body to Clothes - T-CAP Artificial Intelligence for Digital Humanities - AI4DH Medical Transformers - MEDXF Learning in Precision Livestock Farming - LPLF Workshop on Small-Drone Surveillance, Detection and Counteraction Techniques - WOSDETC Medical Imaging Analysis For Covid-19 - MIACOVID 2022 Novel Benchmarks and Approaches for Real-World Continual Learning - CL4REAL.

Note: Human Behaviour Analysis for Smart City Environment Safety - HBAxSCES -- A framework for forming middle distance routes based on spatial guidelines, perceived accessibility and visual cues in smart city -- A survey on Few-Shot techniques in the context of Computer Vision applications based on Deep Learning -- Decision-Support System for Safety and Security Assessment and Management in Smart Cities -- Embedded intelligence for safety and security machine vision applications -- Supporting Energy Digital Twins with Cloud Data Spaces: an Architectural Proposal -- High-level feature extraction for Crowd Behaviour Analysis: a Computer Vision approach -- Binary is the new Black (and White): Recent Advances on Binary Image Processing -- A Simple yet Effective Image Repairing Algorithm -- A Novel Method for Improving the Voxel-Pattern-Based Euler Number Computing Algorithm of 3D Binary Images -- Event-based object detection and tracking - A traffic monitoring use case -- Quest for Speed: The Epic Saga of Record-Breaking on OpenCV Connected Components Extraction -- An efficient run-based Connected Component Labeling algorithm for processing holes -- LSL3D: a run-based Connected Component Labeling algorithm for 3D volumes -- Artificial Intelligence for preterm infants' healthCare - AI-care -- Deep-learning architectures for placenta vessel segmentation in TTTS fetoscopic images -- An Advanced Tool for Semi-Automatic Annotation for Early Screening of Neurodevelopmental Disorders -- Some ethical remarks on Deep Learning-based movements monitoring for preterm infants: Green AI or Red AI? -- Towards a Complete Analysis of People: From Face and Body to Clothes - T-CAP -- Effect of Gender, Pose and Camera Distance on Human Body Dimensions Estimation -- StyleTrendGAN: a deep learning generative framework for fashion bag generation -- Gender Recognition from 3D Shape Parameters -- Recognition of complex gestures for real-time emoji assignment -- Generating High-Resolution 3D Faces using VQ-VAE-2 with PixelSNAIL Networks -- Artificial Intelligence for Digital Humanities - AI4DH -- The Morra Game: Developing an Automatic Gesture Recognition System to Interface Human and Artificial Players -- Integration of point clouds from 360° videos and deep learning techniques for rapid documentation and classification in historical city centers -- Towards the creation of AI-powered queries using Transfer Learning on NLP model - the THESPIAN-NER experience -- Detecting Fake News in MANET Messaging Using an Ensemble Based Computational Social System -- PergaNet: a deep learning framework for automatic appearance-based analysis of ancient parchment collections -- Transformers with YOLO network for damage detection in limestone wall images -- Medical Transformers - MEDXF -- On the Effectiveness of 3D Vision Transformers for the Prediction of Prostate Cancer Aggressiveness -- Exploring a Transformer approach for Pigment Signs segmentation in Fundus Images -- Transformer based GANs for Medical Image Segmentationes -- Learning in Precision Livestock Farming - LPLF -- Suggestions for the environmental sustainability from Precision Livestock Farming and replacement in dairy cows -- Intelligent Video Surveillance For Animal Behavior Monitoring -- Quick Quality Analysis On Cereals, Pulses and Grains Using Artificial Intelligence -- Label a Herd in Minutes: Individual Holstein-Friesian Cattle Identification⋆ -- Workshop on Small-Drone Surveillance, Detection and Counteraction Techniques - WOSDETC -- DroBoost: An Intelligent Score and Model Boosting Method for Drone Detection -- Drone-vs-Bird Detection Challenge at ICIAP 2021 -- An Image-based Classification Module for Data Fusion Anti-Drone System -- Evaluation of Fully Convolutional One-Stage Object Detection for Drone Detection -- Drone Surveillance using Detection, Tracking and Classification Techniques -- Medical Imaging Analysis For Covid-19 - MIACOVID 2022 -- ILC-Unet++ for Covid-19 Infection Segmentation -- Revitalizing regression tasks through modern training procedures: applications in medical image analysis for Covid-19 infection percentage estimation -- Res-Dense Net for 3D Covid Chest CT-scan classification -- Deep Regression by Feature Regularization for COVID-19 Severity Prediction -- Mixup Data Augmentation for COVID-19 Infection Percentage Estimation -- Swin Transformer for COVID-19 Infection Percentage Estimation from CT-Scans -- COVID-19 Infection Percentage Prediction via Boosted Hierarchical Vision Transformer -- Novel Benchmarks and Approaches for Real-World Continual Learning - CL4REAL -- Catastrophic Forgetting in Continual Concept Bottleneck Models -- Practical Recommendations for Replay-based Continual Learning Methods.

In: Springer Nature eBook

Additional Edition: Printed edition: ISBN 9783031133237

Additional Edition: Printed edition: ISBN 9783031133251

Language: English

DOI: 10.1007/978-3-031-13324-4

URL: https://doi.org/10.1007/978-3-031-13324-4

UID:

Format: 1 Online-Ressource (572 Seiten)

Edition: 1st ed

ISBN: 9783031133244

Series Statement: Lecture Notes in Computer Science Series v.13374

Note: Description based on publisher supplied metadata and other sources , Intro -- Preface -- Organization -- Contents - Part II -- Contents - Part I -- Human Behaviour Analysis for Smart City Environment Safety - HBAxSCES -- A Framework for Forming Middle Distance Routes Based on Spatial Guidelines, Perceived Accessibility and Visual Cues in Smart City -- 1 Introduction -- 2 Orientation and Perception Along the Route When Using the Navigation Interface -- 2.1 Mental Maps and Traveler Environment in Route Network Sustainability -- 2.2 Aggregation of Information for Navigation Tasks -- 2.3 Planning, Detailing, and Optimizing a Middle-Distance Route -- 2.4 Smart Routes Application Interface -- 3 GIS Applications in the Study of Navigation Behavior -- 3.1 Materials and Methods -- 3.2 Results -- 4 Conclusion -- References -- A Survey on Few-Shot Techniques in the Context of Computer Vision Applications Based on Deep Learning -- 1 Introduction -- 2 Description of Few-Shot Learning -- 2.1 Applications of FSL -- 2.2 FSL Techniques -- 2.3 FSL Benchmarks for Computer Vision -- 3 FSL for Human Behaviour Analysis Applications -- 4 Few-Shot for Smart City Environment Safety Applications -- 5 Conclusion -- References -- Decision-Support System for Safety and Security Assessment and Management in Smart Cities -- 1 Introduction -- 2 Material and Method -- 2.1 Conceptual Model -- 2.2 System Architecture -- 3 Case Study -- 4 Conclusions and Discussion -- References -- Embedded Intelligence for Safety and Security Machine Vision Applications -- 1 Introduction -- 2 Edge Computing Machine Vision Systems in S4AllCities Project -- 3 Integration with the Distributed Edge Computing Platform (DECIoT) -- 4 Hardware Platform for Machine Vision Based on the I.MX8M PLUS -- 5 VAEC System -- 6 Conclusions -- References -- Supporting Energy Digital Twins with Cloud Data Spaces: An Architectural Proposal -- 1 Introduction , 2 Background and State of Art -- 2.1 Energy of Things -- 2.2 Open Initiatives in Energy Computing Field -- 3 Design of the Italian Energy Data Space -- 3.1 Logical Architecture -- 3.2 The Proposed Development Process -- 4 Conclusion -- References -- High-Level Feature Extraction for Crowd Behaviour Analysis: A Computer Vision Approach -- 1 Introduction -- 2 Related Work -- 3 Proposed Method -- 3.1 Pre-processing -- 3.2 Supervised Deep Learning Module -- 3.3 Unsupervised Learning for Trajectory Clustering -- 4 Experimental Results -- 5 Conclusions -- References -- Binary is the New Black (and White): Recent Advances on Binary Image Processing -- A Simple yet Effective Image Repairing Algorithm -- 1 Introduction -- 2 Background Notions -- 3 Related Work -- 4 Our Approach to Image Repairing -- 4.1 Algorithm A -- 4.2 Algorithm B -- 5 Proof of Correctness -- 5.1 Well-Composedness -- 5.2 Homotopy Equivalence -- 6 Experimental Results and Discussion -- 6.1 Results of Algorithms A and B -- 6.2 Processing The Repaired Images -- 7 Conclusion -- References -- A Novel Method for Improving the Voxel-Pattern-Based Euler Number Computing Algorithm of 3D Binary Images -- 1 Introduction -- 2 Review of Conventional Voxel-Pattern-Based Euler Number Computing Algorithm of a 3D Image -- 3 Our Proposed Method -- 4 Experimental Results -- 4.1 Execution Time Versus Image Sizes -- 4.2 Execution Time Versus Image Densities -- 5 Conclusion -- References -- Event-Based Object Detection and Tracking - A Traffic Monitoring Use Case - -- 1 Introduction -- 2 State of the Art -- 3 Object Detection and Tracking from Event Data -- 3.1 Preprocessing -- 3.2 Model-Free Detection -- 3.3 YOLO-Based Detector -- 3.4 Object Tracking -- 4 Experimental Results -- 5 Conclusions -- References -- Quest for Speed: The Epic Saga of Record-Breaking on OpenCV Connected Components Extraction , 1 Introduction -- 2 The First Approach -- 3 A Novel Interface -- 4 Going Faster with Blocks -- 5 Spaghetti for All -- 6 GPU Implementation -- 7 Discussion -- 8 Conclusion -- References -- An Efficient Run-Based Connected Component Labeling Algorithm for Processing Holes -- 1 Introduction and State-of-the-Art -- 2 General Overview of Our New Algorithm -- 3 Specificities of Black and White Labeling and Hole Processing -- 3.1 Black and White Labeling -- 3.2 Holes and Adjacency Tree Computation -- 3.3 Example -- 4 Benchmark and Performance Analysis -- 5 Conclusion -- References -- LSL3D: A Run-Based Connected Component Labeling Algorithm for 3D Volumes -- 1 Introduction -- 2 Classical Approaches to Connected Components Labeling and Their Evaluation -- 2.1 Main Principles of Modern CCL Algorithms -- 2.2 Benchmarking Procedure and Datasets -- 3 State-of-the-Art of 3D Algorithms -- 3.1 Pixel-Based Algorithms -- 3.2 Block-Based Algorithms -- 3.3 Segment-Based Algorithms -- 4 LSL3D and Efficient Unification Strategies for 3D Volumes -- 4.1 Extension of the Segment-Based Unification for 3D Volumes -- 4.2 A Finite-State Machine-Based Unification -- 4.3 Computational Reuse of Merged Lines -- 5 Architecture-Specific Optimizations of Run-Length Encoding on 3D Images -- 6 Conclusion and Future Work -- References -- Artificial Intelligence for Preterm Infants' HealthCare - AI-Care -- Deep-Learning Architectures for Placenta Vessel Segmentation in TTTS Fetoscopic Images -- 1 Introduction -- 2 Materials and Methods -- 2.1 Backbones -- 2.2 Decoder Architectures -- 3 Experimental Protocol -- 4 Results -- 5 Discussion and Conclusions -- References -- An Advanced Tool for Semi-automatic Annotation for Early Screening of Neurodevelopmental Disorders -- 1 Introduction -- 2 Related Work -- 2.1 Marker-Less AI Tools for Children's Motion Analysis , 2.2 Existing Tools for Face Childrens' Analysis -- 3 The Proposed Annotation Tool -- 3.1 The Graphical User Interface -- 3.2 Deep Learning Components -- 4 The Dataset -- 5 Experimental Results -- 6 Conclusions -- References -- Some Ethical Remarks on Deep Learning-Based Movements Monitoring for Preterm Infants: Green AI or Red AI? -- 1 Introduction -- 2 State of the Art: Green AI and Red AI -- 3 Methods -- 3.1 Considered Deep Learning Architectures -- 3.2 The BabyPose Dataset -- 3.3 Evaluation Metrics -- 4 Results and Discussion -- 5 Conclusion -- References -- Towards a Complete Analysis of People: From Face and Body to Clothes - T-CAP -- Effect of Gender, Pose and Camera Distance on Human Body Dimensions Estimation -- 1 Introduction -- 2 The Problem of Human Body Dimensions Estimation -- 3 Related Work -- 4 Material and Methods -- 4.1 Dataset -- 4.2 Neural Anthropometer -- 5 Results and Discussion -- 5.1 Effect of Gender -- 5.2 Effect of Pose -- 5.3 Effect of Camera Distance -- 5.4 Quantitative Comparison to Related Work -- 6 Conclusions and Future Work -- 6.1 Future Work -- References -- StyleTrendGAN: A Deep Learning Generative Framework for Fashion Bag Generation -- 1 Introduction -- 2 State-of-the-Art -- 3 Materials and Methods -- 3.1 Deep Generative Models -- 3.2 MADAME Dataset -- 3.3 Performance Metrics -- 4 Results and Discussion -- 5 Conclusions and Future Works -- References -- Gender Recognition from 3D Shape Parameters -- 1 Introduction -- 2 Related Work -- 3 Datasets -- 4 Approach -- 4.1 Model Selection -- 5 Results -- 5.1 Comparison with Previous Body Shape-Based Methods -- 5.2 Comparison with Image-Based Methods -- 6 Conclusions -- References -- Recognition of Complex Gestures for Real-Time Emoji Assignment -- 1 Introduction and Motivations -- 2 Proposed Method -- 2.1 Methods for Recognizing Facial Expressions , 2.2 Methods for Recognizing Hand Gestures -- 3 Real-Time Emoji Assignment -- 4 Experimental Results -- 5 Conclusion -- References -- Generating High-Resolution 3D Faces Using VQ-VAE-2 with PixelSNAIL Networks -- 1 Introduction -- 2 Related Works -- 2.1 3D to 2D Representations -- 2.2 3D Face Generation with GANs -- 2.3 3D Face Generation with Autoencoders -- 3 Method -- 3.1 VQ-VAE-2 with PixelSNAIL -- 3.2 Metrics for Quantitative Evaluation -- 4 Experiments -- 4.1 Quantitative Evaluation -- 5 Discussion and Conclusion -- References -- Artificial Intelligence for Digital Humanities - AI4DH -- The Morra Game: Developing an Automatic Gesture Recognition System to Interface Human and Artificial Players -- 1 Introduction -- 2 Methods -- 2.1 Apparatus -- 2.2 Procedure -- 3 Results -- 4 Discussion -- References -- Integration of Point Clouds from 360° Videos and Deep Learning Techniques for Rapid Documentation and Classification in Historical City Centers -- 1 Introduction -- 2 Background -- 3 Method -- 3.1 Generation of Point Clouds from 360° Videos -- 3.2 Deep Learning-Based Point Cloud Classification -- 4 Case Study -- 4.1 Dataset - Bassano Dataset -- 4.2 Acquisition and Post-processing -- 4.3 Classification -- 5 Conclusion -- References -- Towards the Creation of AI-powered Queries Using Transfer Learning on NLP Model - The THESPIAN-NER Experience -- 1 Introduction -- 1.1 The Digital Infrastructure of INFN-CHNet -- 2 The NER Model -- 2.1 The Training Dataset: Archaeological Documents and Scientific Reports Annotated with INCEpTION -- 2.2 Training and Evaluation of the Model -- 3 The Web Service: AI-powered Queries -- 4 Conclusions and Outlook -- References -- Detecting Fake News in MANET Messaging Using an Ensemble Based Computational Social System -- 1 Introduction -- 2 Literature Review -- 2.1 Vehicular Ad Hoc Networks , 2.2 Computational Social Systems

Additional Edition: Erscheint auch als Druck-Ausgabe Mazzeo, Pier Luigi Image Analysis and Processing. ICIAP 2022 Workshops Cham : Springer International Publishing AG,c2022 ISBN 9783031133237

Language: English

Keywords: Konferenzschrift

UID:

Format: xxiv, 565 Seiten , Illustrationen, Diagramme

ISBN: 9783031133237

Series Statement: Lecture notes in computer science 13374

In: 2

Additional Edition: Erscheint auch als Online-Ausgabe ISBN 978-3-031-13324-4

Language: English

Keywords: Konferenzschrift

UID:

Format: 1 Online-Ressource (XXIV, 565 p. 208 illus., 165 illus. in color).

Edition: 1st ed. 2022

ISBN: 978-3-031-13324-4

Series Statement: Lecture Notes in Computer Science 13374

Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-031-13323-7

Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-031-13325-1

Language: English

Keywords: Konferenzschrift

DOI: 10.1007/978-3-031-13324-4

URL: Volltext  (URL des Erstveröffentlichers)

UID:

Format: 1 Online-Ressource (XXIV, 565 p. 208 illus., 165 illus. in color).

Edition: 1st ed. 2022

ISBN: 978-3-031-13324-4

Series Statement: Lecture Notes in Computer Science 13374

Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-031-13323-7

Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-031-13325-1

Language: English

Keywords: Konferenzschrift

DOI: 10.1007/978-3-031-13324-4

URL: Volltext  (URL des Erstveröffentlichers)