Image analysis and processing ICIAP 2022 Workshops, ICIAP International Workshops, Lecce, Italy, May 23-27, 2022, Revised selected papers . Part II / / Pier Luigi Mazzeo [and three others] editors

• Record Nr.: UNISA996485670703316
• Pubbl/distr/stampa: Cham, Switzerland : , : Springer, , [2022]; ©2022
• ISBN: 3-031-13324-2
• Descrizione fisica: 1 online resource (572 pages)
• Collana: Lecture Notes in Computer Science ; ; 13374
• Disciplina: 621.367
• Soggetti: Image analysis
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Nota di contenuto: 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.

Advances in Swarm Intelligence : 14th International Conference, ICSI 2023, Shenzhen, China, July 14–18, 2023, Proceedings, Part I / / edited by Ying Tan, Yuhui Shi, Wenjian Luo

• Record Nr.: UNINA9910734876603321
• Pubbl/distr/stampa: Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023
• ISBN: 9783031366222; 3031366220
• Edizione: [1st ed. 2023.]
• Descrizione fisica: 1 online resource (502 pages)
• Collana: Lecture Notes in Computer Science, , 1611-3349 ; ; 13968
• Disciplina: 605; 006.3824
• Soggetti: Computer science; Computer engineering; Computer networks; Machine learning; Computer science - Mathematics; Computational intelligence; Theory of Computation; Computer Engineering and Networks; Machine Learning; Mathematics of Computing; Computational Intelligence
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Nota di bibliografia: Includes bibliographical references and index.
• Nota di contenuto: Swarm Robotics and UAV A Blockchain-Based Service-Oriented ; Framework to Enable Cooperation of Swarm Robots -- Collective Behavior for Swarm Robots with Distributed Learning -- Exploration of Underwater Environments with a Swarm of Heterogeneous Surface Robots -- Integrating Reinforcement Learning and Optimization Task: Evaluating an agent to dynamically select PSO communication topology -- Filho Swarm Multi-agent Trapping Multi-target Control with Obstacle Avoidance -- A Novel Data Association Method for Multi-target Tracking Based on IACA -- MACT: Multi-agent Collision Avoidance with Continuous Transition Reinforcement Learning via Mixup -- Research on UAV Dynamic Target Tracking with Multi-sensor Position Feedback -- Multiple Unmanned Aerial Vehicles Path Planning Based on Collaborative Differential Evolution -- Design and Analysis of VLC-OCC-CDMA Rake System with Multiple Sources -- x Machine Learning Noise-tolerant Hardware-aware Pruning for Deep Neural Networks -- Nature Inspired Algorithm to Promoting Diversity in Recommender Systems -- Analysis of SIR Compartmental Model Results with Different Update Strategies -- Research on Location Selection of General Merchandise Store Based on Machine Learning -- CF-PMSS: Collaborative Filtering Based on Preference Model and Sparrow Search -- Asynchronous Federated Learning Framework Based on Dynamic Selective Transmission -- Data Mining Small Aerial Target Detection Algorithm Based on Improved YOLOv5 -- Secondary Pulmonary Tuberculosis Lesions Detection Based on Improved YOLOv5 Networks -- Abnormal Traffic Detection based on a Fusion BiGRU Neural Network -- A Fabric Defect Detection Model Based on Feature Extraction of Weak Sample Scene -- Intrusion Detection Method Based on Complementary Adversarial Generation Network -- EEG-Based Subject-Independent Depression Detection Using Dynamic Convolution and Feature Adaptation -- Multi-label Ensemble Defense Scheme Based on Negative Correlation -- Analysis of the Impact of Mathematics Courses on Professional Courses in Science and Engineering Majors -- Intelligent of Clustering Algorithms to Sparseness of One Correlation Network -- Routing and Scheduling Problems Monte Carlo Tree Search with Adaptive Estimation for DAG Scheduling -- Resource Allocation in Heterogeneous Network with Supervised GNNs -- Petrosian Satellite downlink scheduling under breakpoint resume mode -- A Repetitive Grouping Max-Min Ant System for Multi-Depot Vehicle Routing Problem with Time Window -- Secure Access Method of Power Internet of things based on Zero Trust Architecture -- On the Complete Area Coverage Problem of Painting Robots -- Reachability Map-based Motion Planning for Robotic Excavation -- Reinforced Vision-and-Language Navigation Based on Historical BERT -- Stock Prediction and Portfolio Optimization Meta-heuristics for Portfolio Optimization: Part I – Review of Meta-heuristics -- Meta-heuristics for Portfolio Optimization: Part II - Empirical Analysis . Hierarchical Node Representation Learning for Stock Prediction -- Application of APSO-BP Neural Network Algorithm in Stock Price Prediction -- The Research in Credit Risk of Micro and Small Companies with Linear Regression Model -- Bo ICSI-Optimization Competition Deep-Layered Differential Evolution -- Dual-Population Differential Evolution L-NTADE for ICSI-OC’2023 Competition -- Group Simulated Annealing Algorithm for ICSI-OC.
• Sommario/riassunto: This two-volume set LNCS 13968 and 13969 constitutes the proceedings of the 14th International Conference on Advances in Swarm Intelligence, ICSI 2023, which took place in Shenzhen, China, China, in July 2023. The theme of this year’s conference was “Serving Life with Swarm Intelligence”. The 81 full papers presented were carefully reviewed and selected from 170 submissions. The papers are ; organized into 12 cohesive sections covering major topics of swarm intelligence research and its development and applications. The papers of the first part cover topics such as: Swarm Intelligence Computing; Swarm Intelligence Optimization Algorithms; Particle Swarm Optimization Algorithms; Genetic Algorithms; Optimization Computing Algorithms; Neural Network Search & Large-Scale Optimization; Multi-objective Optimization.